Dataset Open Access
Statistical Analysis of the Effect of Equations on Citations
Higginson, Andrew D; Fawcett, Tim W
Statistical analysis of a data set of number of equations and number of citations of papers published in volumes 94 and 104 of the journal Physical Review Letters. This analysis is referred to by the paper Equation-dense papers receive fewer citations—in physics as well as biology in the New Journal of Physics (vol. 18, article 118003) by Andrew D Higginson and Tim W Fawcett. http://iopscience.iop.org/article/10.1088/1367-2630/18/11/118003
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eq_physics_2pager_2016-07_27_Analysis.pdf
md5:bf5eb2fc61c02bc8ce2afef1c6e46649 |
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|---|---|---|
| Views | 1,830 | 1,833 |
| Downloads | 361 | 361 |
| Data volume | 58.4 MB | 58.4 MB |
| Unique views | 1,757 | 1,760 |
| Unique downloads | 342 | 342 |
Indexed in
- Publication date:
- July 26, 2016
- DOI:
-
- Keyword(s):
- impact factors mathematical formulae mathematical literacy scientific progress theoretical modelling
- Communities:
- License (for files):
- Creative Commons Zero v1.0 Universal