2024-03-28T09:11:51Z
https://zenodo.org/oai2d
oai:zenodo.org:2660910
2020-01-20T13:00:09Z
user-metrics-project
openaire
Stropel, Julius
2019-03-27
<p>The *metrics project from a Technical Point of View.</p>
https://doi.org/10.5281/zenodo.2660910
oai:zenodo.org:2660910
eng
Zenodo
https://zenodo.org/communities/metrics-project
https://doi.org/10.5281/zenodo.2660909
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
*metrics
metricsintransitionworkshop
*metrics from a Technical Point of View
info:eu-repo/semantics/lecture
oai:zenodo.org:1254924
2020-01-20T15:02:40Z
user-metrics-project
openaire
Lemke, Steffen
2018-05-29
<p>Slides to the presentation given as part of the Workshop on Open Metrics in Uppsala, Sweden on May 23, 2018.</p>
https://doi.org/10.5281/zenodo.1254924
oai:zenodo.org:1254924
eng
Zenodo
https://zenodo.org/communities/metrics-project
https://doi.org/10.5281/zenodo.1254923
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Altmetrics
Usage Metrics
Survey studies
Context enrichment
*metrics project
Open Metrics: Originators and their Perceptions
info:eu-repo/semantics/lecture
oai:zenodo.org:3635714
2020-02-05T07:20:51Z
user-metrics-project
openaire
Lemke, Steffen
2020-02-04
<p>Presentation slides used in the Altmetric Webinar on "Open Access and Altmetrics in Germany" from February 4, 2020. </p>
https://doi.org/10.5281/zenodo.3635714
oai:zenodo.org:3635714
eng
Zenodo
https://zenodo.org/communities/metrics-project
https://doi.org/10.5281/zenodo.3635713
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
altmetrics
interviews
surveys
German researchers
Attitudes towards altmetrics from German researchers: insights from the *metrics-project
info:eu-repo/semantics/lecture
oai:zenodo.org:2660788
2020-01-20T12:52:29Z
user-metrics-project
openaire
Orth, Astrid
2019-03-27
<p>*metrics Project or·MEasuring The Reliability and perceptions of Indicators for interactions with sCientific productS.</p>
<p>What are it's aims and how does it go about achieving them?</p>
https://doi.org/10.5281/zenodo.2660788
oai:zenodo.org:2660788
eng
Zenodo
https://zenodo.org/communities/metrics-project
https://doi.org/10.5281/zenodo.2660787
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
*metrics
altmetrics
dfg
metricsintransitionworkshop
*metrics Project Introduction
info:eu-repo/semantics/lecture
oai:zenodo.org:1250040
2020-01-20T16:28:38Z
user-metrics-project
user-coar
openaire
Riese, Wolfgang
2018-05-15
<p>This work was presented in COAR 2018 Annual Meeting and General Assembly, Hamburg (Germany)</p>
https://doi.org/10.5281/zenodo.1250040
oai:zenodo.org:1250040
eng
Zenodo
https://zenodo.org/communities/metrics-project
https://zenodo.org/communities/coar
https://doi.org/10.5281/zenodo.1250039
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
COAR2018, COAR 2018 Annual Meeting and General Assembly, Hamburg, Germany, 14-1
ECONSTOR
Usage statistics
ECONSTOR: Usage statistics of a subject repository
info:eu-repo/semantics/lecture
oai:zenodo.org:3233957
2020-01-24T19:22:55Z
user-metrics-project
openaire_data
Mehrazar, Maryam
Lemke, Steffen
2019-05-28
<p>Response data from part A of the second online survey of the *metrics-project. Main goal of the survey was to determine researchers' motivations for using various social media platforms that are potential sources for altmetrics, as well as inquiring which target groups researchers usually plan to reach by being active on these platforms. During dissemination, a strong focus lay on researchers from social sciences and economics. </p>
<p>The questionnaire had originally been implemented in LimeSurvey. Dissemination started on 25 June 2018; the survey was finally taken offline on 13 February 2019. The call for participation was disseminated via a combination of direct non-personalized mails and mailing lists (see "Coping with Altmetrics' Heterogeneity - A Survey on Social Media Platforms' Usage Purposes and Target Groups for Researchers" by Lemke & Peters [2019] for further details). A total of ~27,000 recipients has been targeted this way. </p>
https://doi.org/10.5281/zenodo.3233957
oai:zenodo.org:3233957
eng
Zenodo
https://zenodo.org/communities/metrics-project
https://doi.org/10.5281/zenodo.3233956
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
*Metrics Survey on Researchers' Usage Purposes for Social Media A
info:eu-repo/semantics/other
oai:zenodo.org:2660846
2020-01-20T14:26:16Z
user-metrics-project
openaire
Gottschling, Maxie
Orth, Astrid
2019-03-27
<p>The SUB Göttingen is one of the project partners for the *metrics project. As the project is coming to an end, what are the results?</p>
https://doi.org/10.5281/zenodo.2660846
oai:zenodo.org:2660846
eng
Zenodo
https://zenodo.org/communities/metrics-project
https://doi.org/10.5281/zenodo.2660845
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
*metrics
altmetrics
dfg
metricsintransitionworkshop
*metrics Project - SUB Results
info:eu-repo/semantics/lecture
oai:zenodo.org:1037409
2020-01-20T15:19:28Z
user-metrics-project
openaire
Beucke, Daniel
Gottschling, Maxie
Krausz, Andreas
Kusche, Michael
Lemke, Steffen
Lindner, Diana
Mazarakis, Athanasios
Mehrazar, Maryam
Orth, Astrid
Peters, Isabella
Weller, Katrin
Zagorova, Olga
2017-05-23
<p>Study of Wikipedia-metrics in articles about Social Sciences</p>
https://doi.org/10.5281/zenodo.1037409
oai:zenodo.org:1037409
eng
Zenodo
https://zenodo.org/communities/metrics-project
https://doi.org/10.5281/zenodo.1037408
info:eu-repo/semantics/openAccess
Creative Commons Attribution Share Alike 4.0 International
https://creativecommons.org/licenses/by-sa/4.0/legalcode
WikiCite, Vienna, Austria, 23-25 May 2017
metrics
social media
altmetrics
social sciences
wikipedia
web science
Do Science Articles in Wikipedia reflect on state-of-the-art Research?
info:eu-repo/semantics/lecture
oai:zenodo.org:1037405
2020-01-20T13:37:55Z
user-metrics-project
openaire
Gottschling, Maxie
Krausz, Andreas
Kusche, Michael
Lemke, Steffen
Lindner, Diana
Mazarakis, Athanasios
Mehrazar, Maryam
Peters, Isabella
Orth, Astrid
Weller, Katrin
Zagorova, Olga
Beucke, Daniel
2017-05-23
<p>Der Begriff Altmetrics ist in vieler Munde. Aber was kann man mit diesen alternativen Metriken machen? Was genau wird damit gemessen und wie werden diese Metriken berechnet? Auch seit nunmehr gut sieben Jahren nach der Veröffentlichung des Altmetrics Manifesto (http:altmetrics.orgmanifesto) gibt es noch viele Fragen zu diesem Thema.In Deutschland befasst sich deshalb unter anderem die Arbeitsgruppe “Elektronisches Publizieren” der DINI mit diesem Themenfeld und führt mit diesem Workshop die Tradition fort, beim Bibliothekartag darüber zu informieren. Das von der DFG geförderte Projekt *metrics, das am 1. Januar 2017 die Arbeit aufgenommen hat macht den Anfang und führt allgemein in das Thema ein. Astrid Orth wird ein Bezug herstellen, wie die Ergebnisse des Projekts die interessierte Community unterstützen kann. Zudem werden die verschiedenen Dienstleister und Tools kurz skizziert.Nach dem Blick auf die nationalen Entwicklungen wird der Fokus international betrachtet. In dem Vortrag von Isabella Peters werden die verschiedenen Arbeitsgruppen und Initiativen kurz vorgestellt, die sich u.a. mit der Standardisierung der alternativen Metriken befassen.Ben McLeish schaut auf die deutschlandweite Forschung und beschreibt anhand von Altmetrics die Trends, die anhand dieser Daten ermittelt werden können. Was wird in den Sozialen Medien am meisten besprochen, welche Daten befinden sich in Policies und welche Einrichtung ist am meisten bzw. am wenigsten besprochen? Wie können diese Erfahrungen auf die PR und die Kommunikationsstrategie einer Einrichtung angewandt werden?Stephan Buettgen zeigt anhand von gesammelten Daten, wie Altmetrics in den Sozial- und Geisteswissenschaften und im Speziellen bei dem Format Bücher angewandt werden können, um Impact in den Sozialen Medien zu zeigen.Am Ende bleibt ausreichend Zeit, um die Fragen aus dem Plenum zu diskutieren. Die Ergebnisse werden in einem Etherpad gesammelt und als Ergebnis des Workshops bereitgestellt.</p>
https://doi.org/10.5281/zenodo.1037405
oai:zenodo.org:1037405
https://nbn-resolving.org/urn:nbn:de:0290-opus4-29806
deu
Zenodo
https://zenodo.org/communities/metrics-project
https://doi.org/10.5281/zenodo.1037404
info:eu-repo/semantics/openAccess
Creative Commons Attribution Share Alike 4.0 International
https://creativecommons.org/licenses/by-sa/4.0/legalcode
106. Deutscher Bibliothekartag in Frankfurt am Main 2017, Frankfurt am Main, Germany, 01.06.2017
metrics
altmetrics
usage
function
social media
web science
Altmetrics: Was mache ich damit?
info:eu-repo/semantics/lecture
oai:zenodo.org:1250038
2020-01-20T17:30:46Z
user-metrics-project
user-coar
openaire
Schirrwagen, Jochen
2018-05-15
<p>This work was presented in COAR 2018 Annual Meeting and General Assembly, Hamburg (Germany)</p>
https://doi.org/10.5281/zenodo.1250038
oai:zenodo.org:1250038
eng
Zenodo
https://zenodo.org/communities/metrics-project
https://zenodo.org/communities/coar
https://doi.org/10.5281/zenodo.1250037
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
COAR2018, COAR 2018 Annual Meeting and General Assembly, Hamburg, Germany, 14-
OpenAIRE
Usage metrics
The larger the network the better the usage statistics: the how, when, why to participate in OpenAIRE usage metrics
info:eu-repo/semantics/lecture
oai:zenodo.org:1250034
2020-01-20T15:56:04Z
user-metrics-project
user-coar
openaire
Stropel, Julius
2018-05-14
<p>This work was presented in COAR 2018 Annual Meeting and General Assembly, Hamburg (Germany)</p>
https://doi.org/10.5281/zenodo.1250034
oai:zenodo.org:1250034
eng
Zenodo
https://zenodo.org/communities/metrics-project
https://zenodo.org/communities/coar
https://doi.org/10.5281/zenodo.1250033
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
COAR2018, COAR 2018 Annual Meeting and General Assembly, Hamburg, Germany, 14-17 May
Scientific impact
Social media
Technical Implementation of Information Gathering
info:eu-repo/semantics/lecture
oai:zenodo.org:2386713
2020-01-20T16:41:06Z
user-metrics-project
openaire
Zagovora, Olga
Mehrazar, Maryam
Lemke, Steffen
Morovatdar, Tara
Peters, Isabella
Weller, Katrin
2018-12-18
<p>One of the central questions in altmetrics study is: which social media actions could be the best signal of positive stance towards scientific outcome? To investigate this question, a two-level study was performed. First, we conducted an online survey [1] and analyzed the results of more than 3,400 participants. Second, we performed sentiment analysis of comments in social media platforms. We investigated comments to social media posts (Reddit posts, Youtube videos, Google posts) that cite scientific articles and the comments section on the PLOS journal webpage. </p>
<p> </p>
<p>The exploratory online survey inquired researchers from 84 countries in economics (n = 2,072) and social sciences (n=767). With its goal to determine actions on social media platforms that might be interpreted as positive stance towards scientific outcomes, 90 platforms (e.g., Facebook, Mendeley, ResearchGate) with 107 corresponding actions (e.g., post about academic research on Facebook, comment on a post about academic research on Google+ ) were studied. The sentiment analysis was performed on (1) ·3,851,304 Youtube comments, (2)·718,068 Reddit comments, (3)·23,014 comments on PLOS journal webpage and (4) 8,189 comments to Google+ posts.</p>
<p> </p>
<p>The analysis revealed that Youtube videos have the highest fraction of positive sentiments per publication, followed by Google+ and Reddit comments. Our results suggest that Youtube comments counts can potentially be used as a reliable expression of positive stance towards a scientific outcome. At the same time, survey results disposed toward comments on a post on Reddit as the best positive stance signal. Thus, these to some extent contradictory results has to be discussed with the Altmetric Conference audience.</p>
<p> </p>
<p>Results of the survey and sentiment analysis were presented in the form of poster.</p>
<p><br>
[1] Steffen Lemke, Maryam Mehrazar, Athanasios Mazarakis, and Isabella Peters, “Are There Different Types of Online Research Impact?,” in <em>Proceedings of the 81st ASIS&T Annual Meeting: Building an Ethical & Sustainable Information Future with Emerging Technology</em>, Vancouver, Canada, 2018.</p>
Poster Presented at 5:AM Altmetrics Conference in London, 26-28.09.2018.
https://doi.org/10.5281/zenodo.2386713
oai:zenodo.org:2386713
eng
Zenodo
https://zenodo.org/communities/metrics-project
https://doi.org/10.5281/zenodo.2386712
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Altmetrics
Open Science
social media
conference
5:AM London
sentiment analysis
Which social media interactions indicate positive opinions about cited publications? A comparison of user survey and sentiment analysis.
info:eu-repo/semantics/conferencePoster
oai:zenodo.org:1037146
2020-01-20T16:08:16Z
user-metrics-project
openaire
Lemke, Steffen
Mehrazar, Maryam
Peters, Isabella
Daniel Beucke
Maxie Gottschling
Andreas Krausz
Michael Kusche
Diana Lindner
Athanasios Mazarakis
Astrid Orth
Katrin Weller
Olga Zagorova
2017-09-27
<p><strong>Exploring the Meaning and Perception of Altmetrics</strong></p>
<p>The *metrics project aims to develop a deeper understanding of metrics used for research evaluation – with a focus on altmetrics – in order to assess their general significance and their perception amongst stakeholders. It investigates the popularity of a multitude of social media services among researchers, their demographics and concrete usage by means of exploratory studies. The results will be published in a social media registry. Thus, the project promotes greater openness and transparency of the different metrics’ meanings, a profound understanding of their perception and impact as well as recommendations for their standardization. Due to the project partners’ disciplinary orientations, the projects’ first main target groups consist of economists and social scientists.</p>
<p>As a first step, an exploratory online survey inquiring researchers’ usage of social media in their professional lives was conducted, collecting responses from over 3,400 participants. In total, researchers from 84 countries participated, the majority of them from Germany (51%), followed by the USA (10%) and Italy (5%).</p>
<p>With its goal of determining the services used professionally by researchers, this survey follows a similar path as the one of Kramer & Bosman (2016), but it clearly differs regarding its focus: while Kramer & Bosman (2016) asked for participants’ use of services within the six phases of the research process, this survey asked for detailed information on the intensity and the extent to which the services and the individual types of interactions provided by them are used. </p>
<p>First findings confirm that for researchers from both targeted disciplines the professional usage of social media is far from being a marginal phenomenon, although the degrees to which the two disciplines make use of individual services differ considerably. Results of the survey will be presented and an initial version of the social media registry made available for feedback. </p>
<p> </p>
<p>Sources:</p>
<p>Kramer B and Bosman J. Innovations in scholarly communication - global survey on research tool usage [version 1; referees: 2 approved]. <em>F1000Research</em> 2016, 5:692 (doi: 10.12688/f1000research.8414.1)</p>
<p> </p>
https://doi.org/10.5281/zenodo.1037146
oai:zenodo.org:1037146
eng
Zenodo
https://zenodo.org/communities/metrics-project
https://doi.org/10.5281/zenodo.1037145
info:eu-repo/semantics/openAccess
Creative Commons Attribution Share Alike 4.0 International
https://creativecommons.org/licenses/by-sa/4.0/legalcode
4:AM, Altmetrics Conference, Toronto, Canada, 26-29 September 2017
metrics
altmetrics
social media
conference
4:am
survey
Exploring the Meaning and Perception of Altmetrics.
info:eu-repo/semantics/conferencePoster
oai:zenodo.org:3233960
2020-01-24T19:24:20Z
user-metrics-project
openaire_data
Mehrazar, Maryam
Lemke, Steffen
2019-05-28
<p>Response data from part B of the second online survey of the *metrics-project. Main goal of the survey was to determine researchers' motivations for using various social media platforms that are potential sources for altmetrics, as well as inquiring about their perceptions of various metrics for research evaluation. During dissemination, a strong focus lay on researchers from social sciences and economics. </p>
<p>The questionnaire had originally been implemented in LimeSurvey. Dissemination started on 25 June 2018; the survey was finally taken offline on 13 February 2019. The call for participation was disseminated via a combination of direct non-personalized mails and mailing lists. A total of ~27,000 recipients has been targeted this way. </p>
https://doi.org/10.5281/zenodo.3233960
oai:zenodo.org:3233960
eng
Zenodo
https://zenodo.org/communities/metrics-project
https://doi.org/10.5281/zenodo.3233959
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
*Metrics Survey on Researchers' Usage Purposes for Social Media B
info:eu-repo/semantics/other
oai:zenodo.org:1037276
2020-01-20T14:58:37Z
user-metrics-project
openaire
Beucke, Daniel
Gottschling, Maxie
Krausz, Andreas
Kusche, Michael
Lindner, Diana
Orth, Astrid
Weller, Katrin
Zagorova, Olga
Lemke, Steffen
Mehrazar, Maryam
Peters, Isabella
Mazarakis, Athanasios
2017-09-26
<p>One of the grand challenges in the meaningful use and interpretation of altmetrics is the heterogeneity of the acts behind them (Haustein, 2016). On the one hand, the diversity of the online interactions as a measure of scholarly impact is part of what makes altmetrics such a promising complement to traditional impact measures. On the other hand, this diversity makes the interpretation of altmetrics a difficult endeavor, as altmetrics derived from different social media platforms are shaped by significantly different premises. Although different actions on those platforms are in many cases fundamentally different regarding both the respective user’s degree of involvement and intention, their scores are displayed side by side by altmetrics providers without much further explanation of their diverse premises. For example, bookmarking a publication in Mendeley has a substantially different meaning from writing a post about the same publication in Facebook. In order to account for semantic differences between acts from different sources for altmetrics, efforts have been made to classify interactions regarding the required degree of involvement (Haustein, Bowman, & Costas, 2016) or their stakeholders’ main use cases („NISO RP-25-2016, Outputs of the NISO Alternative Assessment Project - National Information Standards Organization“, 2016). One largely unexplored premise that should be considered when interpreting altmetrics are differences regarding the platforms’ userships – the users that are responsible for the interactions underlying altmetrics. Referring to past studies, the share of academics among the users interacting with scientific articles seems to vary considerably between platforms: while for example Jin-Cheon Na & Yingxin Estella Ye (2017) found a distinct predominance of non-academic users in discussions of psychological academic articles on Facebook, Vainio & Holmberg (2017) found researchers to be strongly represented among Twitter users responsible for tweeting scientific articles. And even for those platforms for which we can assume that the relevant share of interactions with scientific publications is committed by researchers such as Mendeley and ResearchGate (Sugimoto, Work, Larivière, & Haustein, 2016), there still might be considerable differences regarding the overall researchers’ professional experience, productivity in terms of traditional publications or represented fields of research between individual platforms. </p>
<p>The differentiation between the semantics of acts in altmetrics – and their weighting based on this differentiation – leads to many questions regarding a sensible methodology and also its overall desirableness.</p>
<p> </p>
<p> </p>
https://doi.org/10.5281/zenodo.1037276
oai:zenodo.org:1037276
eng
Zenodo
https://zenodo.org/communities/metrics-project
https://doi.org/10.5281/zenodo.1037275
info:eu-repo/semantics/openAccess
Creative Commons Attribution Share Alike 4.0 International
https://creativecommons.org/licenses/by-sa/4.0/legalcode
Altmetrics17 Workshop, Toronto, Canada, 26th September 2017
metrics
altmetrics
social media
academic research
web science
information retrieval
Evaluating altmetrics acts through their creators – how to advance?
info:eu-repo/semantics/lecture
oai:zenodo.org:1250026
2020-01-20T17:18:32Z
user-metrics-project
user-coar
openaire
Fenner, Martin
2018-05-14
<p>This work was presented in COAR 2018 Annual Meeting and General Assembly, Hamburg (Germany)</p>
https://doi.org/10.5281/zenodo.1250026
oai:zenodo.org:1250026
eng
Zenodo
https://zenodo.org/communities/metrics-project
https://zenodo.org/communities/coar
https://doi.org/10.5281/zenodo.1250025
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
COAR2018, COAR 2018 Annual Meeting and General Assembly, Hamburg, Germany, 14-17 May
Open Metrics
Persistent identifier
Open Metrics as Part of Persistent Identifier Infrastructure
info:eu-repo/semantics/lecture
oai:zenodo.org:2661038
2020-01-20T15:24:39Z
user-metrics-project
openaire
Lemke, Steffen
2019-03-27
<p>During the course of the *metrics Project, several user studies were conducted. These are the results.</p>
https://doi.org/10.5281/zenodo.2661038
oai:zenodo.org:2661038
eng
Zenodo
https://zenodo.org/communities/metrics-project
https://doi.org/10.5281/zenodo.2661037
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
*metrics
metricsintransitionworkshop
altmetrics
The *metrics-project's user studies: How researchers perceive and use metrics
info:eu-repo/semantics/lecture
oai:zenodo.org:1250036
2020-01-20T17:30:47Z
user-metrics-project
user-coar
openaire
MacIntyre, Ross
2018-05-15
<p>This work was presented in COAR 2018 Annual Meeting and General Assembly, Hamburg (Germany)</p>
https://doi.org/10.5281/zenodo.1250036
oai:zenodo.org:1250036
eng
Zenodo
https://zenodo.org/communities/metrics-project
https://zenodo.org/communities/coar
https://doi.org/10.5281/zenodo.1250035
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
COAR2018, COAR 2018 Annual Meeting and General Assembly, Hamburg, Germany, 14-17 May
IRUS-UK
Usage statistics
Standardised usage statistics from repositories (IRUS)
info:eu-repo/semantics/lecture
oai:zenodo.org:1250042
2020-01-20T17:30:55Z
user-metrics-project
user-coar
openaire
Zahedi, Zohreh
2018-05-15
<p>This work was presented in COAR 2018 Annual Meeting and General Assembly, Hamburg (Germany)</p>
https://doi.org/10.5281/zenodo.1250042
oai:zenodo.org:1250042
eng
Zenodo
https://zenodo.org/communities/metrics-project
https://zenodo.org/communities/coar
https://doi.org/10.5281/zenodo.1250041
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
COAR2018, COAR 2018 Annual Meeting and General Assembly, Hamburg, Germany, 14-
Altmetrics
Data quality
Quality challenges of altmetric data aggregators
info:eu-repo/semantics/lecture
oai:zenodo.org:3475019
2020-01-20T17:03:26Z
user-metrics-project
openaire
Mehrazar, Maryam
Shema, Hadas
Lemke, Steffen
Peters, Isabella
2019-10-07
<p>Presented at the 17th International Conference on Scientometrics and Informetrics (ISSI) on September 2-5, 2019 in Rome (Italy). </p>
https://doi.org/10.5281/zenodo.3475019
oai:zenodo.org:3475019
eng
Zenodo
https://zenodo.org/communities/metrics-project
https://doi.org/10.5281/zenodo.3475018
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
ISSI, 17th International Conference on Scientometrics & Informetrics, Rome, Italy, September 2-5, 2019
Why do researchers from Economics and Social Sciences cite online? Insights from an exploratory survey
info:eu-repo/semantics/conferencePoster
oai:zenodo.org:3560886
2021-07-19T15:48:18Z
user-metrics-project
openaire_data
Lemke, Steffen
2020-08-25
<p>Data collected during conjoint analysis experiments conducted as part of the *metrics-project. Detailed information on the experiments' background, conduction and results can be found in the following article from the Journal of the Association for Information Science and Technology: https://asistdl.onlinelibrary.wiley.com/doi/10.1002/asi.24445</p>
https://doi.org/10.5281/zenodo.3560886
oai:zenodo.org:3560886
eng
Zenodo
https://zenodo.org/communities/metrics-project
https://doi.org/10.5281/zenodo.3560885
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
bibliometrics
altmetrics
conjoint analysis
article-level metrics
research assessment
ranking experiment
cluster analysis
online survey
Researchers Hidden Preferences for Metrics - Datasets
info:eu-repo/semantics/other
oai:zenodo.org:6612368
2022-10-19T05:10:40Z
user-metrics-project
user-bibliometrics
openaire_data
Striewski, Sören
Zagovora, Olga
Peters, Isabella
2022-06-03
<p><strong>This dataset includes 300 YouTube comments that link to research publications or preprints. Each comment has been assigned into one category that define why individuals mention scholarly publications in comments to YouTube videos. </strong></p>
<p>Each row of the file "Categories_300random.xlsx" represents one distinct comment to YouTube video.<br>
The file includes the following columns:</p>
<ul>
<li><strong>Comment_text </strong>- the full text of a comment,</li>
<li><strong>YouTube_link </strong>- URL to the video where the comment was left,</li>
<li><strong>Comment_link </strong>- URL to the thread with the comment,</li>
<li><strong>Category </strong>- the final category that was assigned to the comment,</li>
<li>Columns <strong>Category_old_schema_SS</strong>, <strong>Category_old_schema_IP</strong>, <strong>Category_old_schema_OZ </strong>- categories assigned by different researchers according to old categorization schema and were used for validation reasons,</li>
<li>Columns <strong>Category_OZ</strong>, and <strong>Caregory_LB </strong>- categories assigned by different researchers according to the final schema and were used for validation.<br>
<br>
</li>
</ul>
https://doi.org/10.5281/zenodo.6612368
oai:zenodo.org:6612368
eng
Zenodo
https://zenodo.org/communities/metrics-project
https://zenodo.org/communities/bibliometrics
https://doi.org/10.5281/zenodo.6612367
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
YouTube comments
Scholarly communication
Altmetrics
Social media metrics
Social media studies
Motivations for citing research in comments to YouTube videos
info:eu-repo/semantics/other
oai:zenodo.org:3979226
2020-08-26T11:54:10Z
user-metrics-project
openaire
Weller, Katrin
Zagovora, Olga
2019-03-27
<p>Presentation from the Workshop "*metrics in Transition - Final Workshop", 27-28 March 2019, SUB Göttingen.<br>
<br>
This research was supported by the Deutsche Forschungsgemeinschaft, DFG, project number 314727790.</p>
https://doi.org/10.5281/zenodo.3979226
oai:zenodo.org:3979226
Zenodo
https://zenodo.org/communities/metrics-project
https://doi.org/10.5281/zenodo.3979225
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
*metrics in Transition - Final Workshop, Göttingen, Germany, 27-27 March 2019
Altmetrics
Scientometrics
social media
Wikipedia
Gender inequalities
YouTube
Reddit
PLOS Comments
Google+
The hidden influences on *metrics indicators
info:eu-repo/semantics/lecture
oai:zenodo.org:3233921
2020-01-24T19:25:33Z
user-metrics-project
openaire_data
Lemke, Steffen
Mehrazar, Maryam
2019-05-28
<p>Response data from the first online survey of the *metrics-project. Aim of the survey was to determine the status quo of online platform usage by researchers, with a strong focus lying on researchers from social sciences and economics. </p>
<p>The questionnaire had originally been implemented in LimeSurvey. Dissemination started on 31 March 2017; the survey was finally taken offline on 13 February 2019. The call for participation was disseminated via a combination of direct personalized mails (containing recipients' first and surnames), direct non-personalized mails and mailing lists (see "Are There Different Types of Online Research Impact?" by Lemke, Mehrazar, Mazarakis, & Peters [2018] for further details). A total of ~54,000 recipients has been targeted this way. </p>
https://doi.org/10.5281/zenodo.3233921
oai:zenodo.org:3233921
eng
Zenodo
https://zenodo.org/communities/metrics-project
https://doi.org/10.5281/zenodo.3233920
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
*Metrics Survey on Usage of Social Media Services in Science
info:eu-repo/semantics/other
oai:zenodo.org:2654509
2020-01-20T16:22:37Z
user-metrics-project
openaire
Orth, Astrid
Lemke, Steffen
Mehrazar, Maryam
2019-03-18
<p>Das exponentielle Wachstum des wissenschaftlichen Outputs erhöht stetig den Bedarf an zuverlässigen Messgrößen zur effizienten Beurteilung von wissenschaftlichen Arbeiten. Traditionell werden Zitationen und zitationsbasierte Indikatoren wie der Journal Impact-Faktor oder der h-Index genutzt. Neben diesen bibliometrischen Faktoren bieten neue Technologien und Arbeitsweisen in der Wissenschaft eine Vielfalt von webbasierten Indikatoren um den Einfluss von Forschung („Impact“] messbar zu machen, z. B. Altmetrics oder Nutzungszahlen. Viele Forschende verfolgen die Nutzung dieser quantitativen Messgrößen mit verständlicher Skepsis.<br>
Innerhalb des *metrics Projektes führen wir quantitative und qualitative Studien in Form von Interviews, Umfragen und interaktiven Experimenten durch, um herauszufinden wie Forschende Metriken gegenüberstehen und diese selbst nutzen. Wir möchten verbreitete Missverständnisse, die zur Fehlinterpretation von Metriken führen können, ebenso aufdecken wie latente Barrieren, die Forschende davon abhalten, Metriken in ihrer vollen Bandbreite anzuwenden.<br>
Erste Ergebnisse zeigen, dass das fehlende Wissen über eine Vielzahl von Impact Metriken Forschende von deren Nutzung abhält. Dem könnte durch die Aufnahme in Ausbildungsinhalte entgegengewirkt werden. Ebenso zeigen erste Analysen substantielle Unterschiede in der Bewertung der Nützlichkeit unterschiedlicher Metriken, wobei bibliometrische Kenngrössen weit eher als nutzbringende Indikatoren für wissenschaftliche Relevanz angesehen werden als web-basierte Metriken.<br>
Die Studienergebnisse bieten wertvolle Orientierung im unübersichtlichen Dickicht der existierenden Indikatoren für wissenschaftlichen Impact, zeigen welche Vorbehalte von Forschenden berücksichtigt werden sollten, wenn Metriken im Bereich der Performance-Messung herangezogen und kommuniziert werden und geben Empfehlungen zur Verbesserung der Nützlichkeit von Metriken als Hilfsmittel für Forschungsevaluation.</p>
https://doi.org/10.5281/zenodo.2654509
oai:zenodo.org:2654509
deu
Zenodo
https://zenodo.org/communities/metrics-project
https://doi.org/10.5281/zenodo.2654508
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
*metrics
bibliothekskongress2019
altmetrics
Traditionell oder alternativ: Wie Forschende Metriken nutzen, verstehen und selbst anwenden
info:eu-repo/semantics/lecture
oai:zenodo.org:2654498
2020-01-20T17:27:55Z
user-metrics-project
openaire
Orth, Astrid
Beucke, Daniel
McLeish, Ben
2019-03-20
<p>·Welche webbasierten Metriken reflektieren am ehesten wissenschaftlichen Austausch?</p>
<p>·Welche Online-Aktionen werden von Forschende welcher Karrierestufen ausgeführt?</p>
<p>·Welche webbasierten Metriken sind Indikatoren für wissenschaftliche Wertschätzung?</p>
<p>·Welche Online-Aktionen drücken positive Würdigung aus?</p>
<p>·Welche Vorbehalte haben Forschende hinsichtlich der beruflichen Nutzung von Social Media?</p>
https://doi.org/10.5281/zenodo.2654498
oai:zenodo.org:2654498
deu
Zenodo
https://zenodo.org/communities/metrics-project
https://doi.org/10.5281/zenodo.2654497
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
altmetrics
metrics
bibliothekskongress2019
Nutzung von Social-Media bei Forschenden
info:eu-repo/semantics/lecture
oai:zenodo.org:1480965
2020-01-20T17:24:20Z
user-metrics-project
openaire
Lemke, Steffen
2018-11-08
<p>Presentation slides for talk by Steffen Lemke at the ASIS&T Annual Meeting 2018. </p>
https://doi.org/10.5281/zenodo.1480965
oai:zenodo.org:1480965
eng
Zenodo
https://zenodo.org/communities/metrics-project
https://doi.org/10.5281/zenodo.1480964
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
ASIS&T Annual Meeting 2018, Vancouver, Canada, 10-14 November 2018
Are There Different Types of Online Research Impact?
info:eu-repo/semantics/lecture
oai:zenodo.org:1037424
2020-01-20T13:33:13Z
user-metrics-project
openaire
Lemke, Steffen
Mazarakis, Athanasios
Mehrazar, Maryam
Peters, Isabella
Weller, Katrin
Zagorova, Olga
Beucke, Daniel
Gottschling, Maxie
Krausz, Andreas
Kusche, Michael
Lindner, Diana
Orth, Astrid
2017-09-12
<p><strong>*metrics Projekt-Workshop Open-Access-Tage 2017 11. – 13. September SLUB Dresden</strong></p>
<p><strong>Zentrale Fragen:</strong></p>
<p>• Was ist der Zusammenhang zwischen Social Media und Zitationen?</p>
<p>• Wie unterscheiden sich die *metrics von einander?</p>
<p>• Warum werden Artikel getweetet, gebookmarkt, geliked…?</p>
<p>• Was bedeuten *metrics? Welchen Wert haben sie?</p>
<p>• Wer tweetet (liked, bookmarkt…) wissenschaftliche Artikel?</p>
<p>• Wie unterscheiden sich *metrics zwischen den Disziplinen?</p>
<p><strong>Ziele</strong></p>
<p>Erforschung alternativer Metriken als Basis neuer Kennwerte für wissenschaftlichen Output</p>
<p>Bewußte Nutzung ermöglichen und Grenzen und Interpretationsspielräume sichtbar machen</p>
<p><strong>Diskussionsfragen</strong></p>
<p> Welche Plattfomen sollten aus Ihrer Sicht (noch) enthalten sein?</p>
<p> Hat die Abfrage von Social Media Metriken für Sie/Ihre Einrichtung Bedeutung? Wenn ja, welche?</p>
<p> Nutzen Sie/Ihre Einrichtung/Ihre Autoren derzeit den Service von Social-MediaAggregatoren?</p>
<p> </p>
https://doi.org/10.5281/zenodo.1037424
oai:zenodo.org:1037424
deu
Zenodo
https://zenodo.org/communities/metrics-project
https://doi.org/10.5281/zenodo.1037423
info:eu-repo/semantics/openAccess
Creative Commons Attribution Share Alike 4.0 International
https://creativecommons.org/licenses/by-sa/4.0/legalcode
Open Access Tage, Dresden, Germany, 11-13 September 2017
metrics
altmetrics
social media
open access
web science
science communication
Wie vermessen ist das Vermessen von wissenschaftlicher Kommunikation
info:eu-repo/semantics/lecture
oai:zenodo.org:1037357
2020-01-20T14:41:48Z
user-metrics-project
openaire
Beucke, Daniel
Gottschling, Maxie
Krausz, Andreas
Kusche, Michael
Lemke, Steffen
Lindner, Diana
Mazarakis, Athanasios
Mehrazar, Maryam
Weller. Katrin
Zagorova, Olga
Peters, Isabella
Orth, Astrid
2017-06-30
<p>Vorgestellt werden Informationen zu den Punkten</p>
<p>1. Verantwortliche Nutzung</p>
<p>2. Standardisierung</p>
<p>3. Initiativen</p>
https://doi.org/10.5281/zenodo.1037357
oai:zenodo.org:1037357
https://nbn-resolving.org/urn:nbn:de:0290-opus4-31535
deu
Zenodo
https://zenodo.org/communities/metrics-project
https://doi.org/10.5281/zenodo.1037356
info:eu-repo/semantics/openAccess
Creative Commons Attribution Share Alike 4.0 International
https://creativecommons.org/licenses/by-sa/4.0/legalcode
106. Deutscher Bibliothekartag in Frankfurt am Main 2017, Frankfurt am Main, Germany, 01.06.2017
metrics
altmetrics
social media
web science
open access
responsible metrics
liber
niso
Empfehlungen zur Nutzung geben
info:eu-repo/semantics/lecture
oai:zenodo.org:2660928
2020-01-20T12:52:23Z
user-metrics-project
openaire
Weller, Katrin
Zagovora, Olya
2019-03-27
<p>One of the central questions in Altmetrics study is: which social media actions could be the best signal of positive stance towards scientific outcome? To investigate this question, a two-level study was performed. For one, we conducted an online survey and analyzed the results of more than 3,400 participants. Secondly, we performed sentiment analysis of comments in social media platforms and we investigated comments to social media posts (i.e. Reddit posts, YouTube videos, Google posts) that cite scientific articles and the comments section on the PLOS journal webpage</p>
https://doi.org/10.5281/zenodo.2660928
oai:zenodo.org:2660928
eng
Zenodo
https://zenodo.org/communities/metrics-project
https://doi.org/10.5281/zenodo.2660927
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
*metrics
metricsintransitionworkshop
altmetrics
Which social media interactions indicate positive opinions about cited publications? A comparison of user survey and sentiment analysis
info:eu-repo/semantics/conferencePoster
oai:zenodo.org:1250032
2020-01-20T17:15:57Z
user-metrics-project
user-coar
openaire
Lindner, Diana
Gill, Julian
Orth, Astrid
2018-05-14
<p>This work was presented in COAR 2018 Annual Meeting and General Assembly, Hamburg (Germany)</p>
https://doi.org/10.5281/zenodo.1250032
oai:zenodo.org:1250032
eng
Zenodo
https://zenodo.org/communities/metrics-project
https://zenodo.org/communities/coar
https://doi.org/10.5281/zenodo.1250031
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
COAR2018, COAR 2018 Annual Meeting and General Assembly, Hamburg, Germany, 14-
SoMeR
metrics
*metrics Project & Social Media Registry (SoMeR)
info:eu-repo/semantics/lecture
oai:zenodo.org:1250028
2020-01-20T17:03:15Z
user-metrics-project
user-coar
openaire
Giesler, Martin
2018-05-14
<p>This work was presented in COAR 2018 Annual Meeting and General Assembly, Hamburg (Germany)</p>
https://doi.org/10.5281/zenodo.1250028
oai:zenodo.org:1250028
eng
Zenodo
https://zenodo.org/communities/metrics-project
https://zenodo.org/communities/coar
https://doi.org/10.5281/zenodo.1250027
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
COAR2018, COAR 2018 Annual Meeting and General Assembly, Hamburg, Germany, 14-17 May
social media
metrics
Social Media: The New Gatekeeper
info:eu-repo/semantics/lecture
oai:zenodo.org:2661084
2020-01-20T12:04:09Z
user-metrics-project
openaire
Orth, Astrid
2019-03-27
<p>As the *metrics project is coming to an end, what are results and possible outlooks?</p>
https://doi.org/10.5281/zenodo.2661084
oai:zenodo.org:2661084
eng
Zenodo
https://zenodo.org/communities/metrics-project
https://doi.org/10.5281/zenodo.2661083
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
*metrics Project Summary
info:eu-repo/semantics/lecture
oai:zenodo.org:1283183
2020-01-20T16:50:53Z
user-metrics-project
user-coar
openaire
Lemke, Steffen
2018-05-14
<p>Presentation summarizing the approaches and goals of user studies conducted in the *metrics project. </p>
https://doi.org/10.5281/zenodo.1283183
oai:zenodo.org:1283183
eng
Zenodo
https://zenodo.org/communities/metrics-project
https://zenodo.org/communities/coar
https://doi.org/10.5281/zenodo.1283182
info:eu-repo/semantics/openAccess
Creative Commons Attribution Share Alike 4.0 International
https://creativecommons.org/licenses/by-sa/4.0/legalcode
User- and Usage Studies in the *metrics Project
info:eu-repo/semantics/lecture
oai:zenodo.org:3381492
2020-01-20T17:24:09Z
user-metrics-project
openaire
Lemke, Steffen
Peters, Isabella
2019-08-29
<p>Presentation of the conference paper with the same title at ISSI 2019, September 2-5 in Rome. </p>
https://doi.org/10.5281/zenodo.3381492
oai:zenodo.org:3381492
eng
Zenodo
https://zenodo.org/communities/metrics-project
https://doi.org/10.5281/zenodo.3381491
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
altmetrics
researchers' use of social media
scholarly communication
online survey
Coping with Altmetrics' Heterogeneity - A Survey on Social Media Platforms' Usage Purposes and Target Groups for Researchers
info:eu-repo/semantics/lecture
oai:zenodo.org:1037332
2020-01-20T14:31:46Z
user-metrics-project
openaire
Beucke, Daniel
Gottschling, Maxie
Krausz, Andreas
Kusche, Michael
Lemke, Steffen
Lindner, Diana
Mazarakis, Athanasios
Mehrazar, Maryam
Peters, Isabella
Weller, Katrin
Zagorova, Olga
Orth, Astrid
2017-06-30
<p><strong>*metrics Projekt</strong></p>
<p><strong>Zentrale Fragen:</strong></p>
<p>• Was ist der Zusammenhang zwischen Social Media und Zitationen?</p>
<p>• Wie unterscheiden sich die *metrics von einander?</p>
<p>• Warum werden Artikel getweetet, gebookmarkt, geliked…?</p>
<p>• Was bedeuten *metrics? Welchen Wert haben sie?</p>
<p>• Wer tweetet (liked, bookmarkt…) wissenschaftliche Artikel?</p>
<p>• Wie unterscheiden sich *metrics zwischen den Disziplinen?</p>
<p><strong>Ziele:</strong></p>
<p> Erforschung alternativer Metriken als Basis neuer Kennwerte für wissenschaftlichen Output</p>
<p> Bewußte Nutzung ermöglichen und Grenzen und Interpretationsspielräume sichtbar mach</p>
<p> </p>
https://doi.org/10.5281/zenodo.1037332
oai:zenodo.org:1037332
https://nbn-resolving.org/urn:nbn:de:0290-opus4-31541
deu
Zenodo
https://zenodo.org/communities/metrics-project
https://doi.org/10.5281/zenodo.1037331
info:eu-repo/semantics/openAccess
Creative Commons Attribution Share Alike 4.0 International
https://creativecommons.org/licenses/by-sa/4.0/legalcode
106. Deutscher Bibliothekartag in Frankfurt am Main 2017, Frankfurt am Main, Germany, 01.06.2017
metrics
altmetrics
web science
social media
Forschung
Zuverlässigkeit und Wahrnehmung von Indikatoren für Interaktionen mit wissenschaftlichen Ergebnissen
info:eu-repo/semantics/lecture
oai:zenodo.org:3964990
2021-02-19T09:26:03Z
user-wikimedia
user-metrics-project
user-bibliometrics
user-wikipedia_data
openaire_data
Zagovora, Olga
Ulloa, Roberto
Weller, Katrin
Flöck, Fabian
2020-07-31
<p><strong>This dataset includes the historical versions of all individual references per article in the English Wikipedia. Each reference object also contains information about its original creating editor, editors implementing changes to it, and timestamps of all actions (creations, modifications, deletions, and reinsertions) that were applied to the reference. Each historical version of a reference is represented as a list of tokens </strong> <strong>(≈ words)</strong><strong>, where each token has an individual creator and change history.</strong></p>
<p>The extraction process was meticulously vetted through crowdsourcing evaluations, assuring very high accuracy in contrast to standard textual difference algorithms. The dataset includes references that were created with the "<ref>" tag until June 2019. It contains 55,503,998 references with 164,530,374 actions. These references were found in 4,690,046 Wikipedia articles.</p>
<p>The dataset consists of JSON files where each article's page ID (here: article_id) is used as a file name. Each file is represented as a list of “References”. Each reference is a dictionary with the following keys:</p>
<ul>
<li>"<strong>first_rev_id</strong>" type: Integer, first revision where the reference was inserted (the same value is represented in “ins” as the first element of the list and in "rev_id" of the first element in the "change_sequence"),</li>
<li>"<strong>first_hash_id</strong>" type: String, the hash value of the first version of token_id (from WikiWho<a href="#wikiwholine"><sup>1</sup></a>, see below) list of the reference (the same value is represented as "hash_id" of the first element in the "change_sequence"),</li>
<li>"<strong>first_editor_id</strong>" type: String, user_id or IP address of the first revision where the reference was inserted (the same value is represented as "editor_id" of the first element in the "change_sequence",</li>
<li>"<strong>deleted</strong>" type: Boolean, an indicator if the reference exists in the last available revision,</li>
<li>"<strong>ins</strong>" type: List of Integers, list of revisions where the reference was inserted (includes the first revision mentioned as "first_rev_id"),</li>
<li>"<strong>ins_editor</strong>" type: List of Strings, list of user_id or IP addresses of editors where the reference was inserted (includes the first user mentioned as "first_editor_id"),</li>
<li>"<strong>del</strong>" type: List of Integers, list of revisions where the reference was deleted from the article or reference was modified in a way that less than 25% of tokens remained,</li>
<li>"<strong>del_editor</strong>“ type: List of Strings, list of user_id or IP addresses of editors where the reference was deleted or reference was modified in a way that less than 25% of tokens remained,</li>
<li>"<strong>modif</strong>" type: List of Integers, list of revisions where the reference was modified, or reinserted with modification,</li>
<li>"<strong>hashes</strong>": type: List of Strings, list of hash values of all versions of references,</li>
<li>"<strong>first_rev_time</strong>": type: DateTime, the timestamp when the reference was created (the same value is represented in "ins_time” as the first element of the list and in "time" of the first element in the "change_sequence"),</li>
<li>"<strong>ins_time</strong>" type: List of DateTime, list of timestamps when the reference was inserted or reinserted,</li>
<li>"<strong>del_time</strong>" type: List of DateTime, list of timestamps when the reference was deleted,</li>
<li>"<strong>change_sequence</strong>" type: List of dictionaries, with information about tokens, editors and revisions where the reference was modified (the first element representing the first revision where the reference was inserted), where:
<ul>
<li>"<strong>hash_id</strong>" type: String, the hash value of the token_id (WikiWho<a href="#wikiwholine"><sup>1</sup></a>) list of the reference version,</li>
<li>"<strong>rev_id</strong>" type: Integer, the revision number of the particular version of the reference,</li>
<li>"<strong>editor_id</strong>" type: String, user_id or IP address of the revision editor,</li>
<li>"<strong>time</strong>" type: DateTime, the timestamp when of this particular version of the reference,</li>
<li>"<strong>tokens</strong>" type: List of Strings, ordered list of tokens (created by WikiWho<a href="#wikiwholine"><sup>1</sup></a>) that represents the particular version of the reference (the list has the same length as "token_editors"),</li>
<li>"<strong>token_editors</strong>" type: List of Strings, ordered list of user_ids or IP addresses of editors that were first who added the corresponding token (see "tokens") to Wikipedia article.</li>
</ul>
</li>
</ul>
<p><sup>1</sup> WikiWho is a text mining algorithm to extract changes to tokens from Wikipedia revisions. Each token is assigned a unique ID. More information: <a href="https://www.wikiwho.net/#technical_details">https://www.wikiwho.net/#technical_details</a></p>
<p>GitHub Repository with Python example code on how to process data and extract document identifiers: <a href="https://github.com/gesiscss/wikipedia_references">https://github.com/gesiscss/wikipedia_references</a></p>
<p>To run the code at GESIS Notebook follow the link: <a href="https://notebooks.gesis.org/binder/v2/gh/gesiscss/wikipedia_references/master">https://notebooks.gesis.org/binder/v2/gh/gesiscss/wikipedia_references/master</a></p>
This research was supported by the Deutsche Forschungsgemeinschaft, DFG, project number 314727790.
https://doi.org/10.5281/zenodo.3964990
oai:zenodo.org:3964990
eng
Zenodo
https://zenodo.org/communities/metrics-project
https://zenodo.org/communities/bibliometrics
https://zenodo.org/communities/wikipedia_data
https://zenodo.org/communities/wikimedia
https://doi.org/10.5281/zenodo.3964989
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
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Wikipedia references
Wikipedia editors
Dataset
Scientometrics
Individual Edit Histories of All References in the English Wikipedia
info:eu-repo/semantics/other