New Research Article: “Exploring Coverage and Distribution of Identifiers on the Scholarly Web”
Exploring Coverage and Distribution of Identifiers on the Scholarly Web
Graz University of Technology, Austria
Accepted for Publication at 14th International Symposium of Information Science (ISI 2015)
via arXiv (arXiv:1503.05096)
In a scientific publishing environment that is increasingly moving online, identifiers of scholarly work are gaining in importance. In this paper, we analysed identifier distribution and coverage of articles from the discipline of quantitative biology using arXiv, Mendeley and CrossRef as data sources. The results show that when retrieving arXiv articles from Mendeley, we were able to find more papers using the DOI than the arXiv ID. This indicates that DOI may be a better identifier with respect to findability. We also find that coverage of articles on Mendeley decreases in the most recent years, whereas the coverage of DOIs does not decrease in the same order of magnitude. This hints at the fact that there is a certain time lag involved, before articles are covered in crowd-sourced services on the scholarly web.
Direct to Full Text (12 pages; PDF)
See Also: ““Research Data Explored: Citations Versus Altmetrics” (February 23, 2015)
This paper was written by the same group of authors as the article we shared above.
About Gary Price
Gary Price (firstname.lastname@example.org) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.