Dataset Open Access
Background and methodology:
The dataset consists of a list of 2202 journal titles represented in the SHAPE-ID Literature Review bibliography, prepared for the purposes of quantitative analysis.
The list of journals is based on 3955 journal articles in the bibliography dataset that had an International Standard Serial Number (ISSN). To each journal title the project team attributed:
- a weight factor based on how many articles from the given journal featured in bibliography dataset
- at least one All Science Journal Classification (ASJC) code, representing different scientific disciplines
- a country of publication.
In case of 1853 of those journal titles, the attribution was automatised (we matched the ISSNs of journal titles in our sample against the Scopus Sources list from February 2019). In case of the remaining 349 titles the attribution was accomplished manually, based on the information available in SCOPUS, Web of Science, JSTOR, Information Matrix for the Analysis of Journals (MIAR) and ISSN databases.
Description of the file:
This is a csv file containing a list of 2202 journal titles represented in the SHAPE-ID Literature Review bibliography, with country of publication and ASJC codes assigned.
The file is formatted as follows:
Column A: ISSN of the journal
Column B: information on how country and ASJC codes were attributed. Value “N” indicates automatic attribution based on match with Scopus list of sources. Other values indicate manual attribution. Values WOS, SCOPUS, JSTOR indicate source of information. Valu “Y” indicates that information was compiled based on multiple sources.
Column C: numeric values correspond to the weight factor, i.e. number of time articles from each journal featured in the SHAP-ID Literature Review bibliography.
Column D: SHAPE-ID Zotero bibliography identifier.
Column E: Journal title
Column F: The country of publication
Columns G-AD: ASJC codes (numeric and word values) associated with journal entries.
SHAPE-ID Literature Review Journal occurences with ASJC codes.csv