You are viewing a javascript disabled version of the site. Please enable Javascript for this site to function properly.
Go to headerGo to navigationGo to searchGo to contentsGo to footer
In content section. Select this link to jump to navigation

PlosOpenR – Exploring FP7 funded PLOS publications

Issue title: Mining the Digital Information Networks

Guest editors: Niklas LavessonGuest Editor, Peter LindeGuest Editor and Panayiota PolydoratouGuest Editor

Article type: Research Article

Authors: Jahn, Najkoa; * | Fenner, Martinb; c | Schirrwagen, Jochena

Affiliations: [a] Bielefeld University Library, Bielefeld University, Bielefeld, Germany | [b] Hannover Medical School, Hannover, Germany | [c] Technical Lead PLOS Article Level Metrics, Public Library of Science, San Francisco, CA, USA

Correspondence: [*] Corresponding author: Najko Jahn, Bielefeld University Library, Bielefeld University, Universitaetsstrasse 25, 33602 Bielefeld, Germany. E-mail: [email protected]

Keywords: Research evaluation, article-level metrics, statistical computing, R, PLOS, open access, OpenAIRE, 7th Framework Programme

DOI: 10.3233/ISU-130704

Journal: Information Services & Use, vol. 33, no. 2, pp. 93-101, 2013

Published: 30 October 2013
Get PDF open access

Abstract

This case study explores alternative science metrics on grant-supported research publications. The study is based on plosOpenR, a software package for the statistical computing environment R. plosOpenR facilitates access to the application programming interfaces (API) provided by Open Access publisher Public Library of Science (PLOS) and OpenAIRE – Open Access Infrastructure for Research in Europe.

We report 1,166 PLOS articles that acknowledge grant support from 624 different research projects funded by the European Union's 7th Framework Programme (FP7). plosOpenR allows the exploration of PLOS Article-Level Metrics (PLOS ALM), including citations, usage and social media events as well as collaboration patterns on these articles. Findings reveal the potential of reusing data, that are made openly and automatically available by publishers, funders and the repository community.

Show more