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. 2015 Aug 21;13(8):e1002161.
doi: 10.1371/journal.pbio.1002161. eCollection 2015 Aug.

The Question of Data Integrity in Article-Level Metrics

Gregg Gordon  1 , Jennifer Lin  2 , Richard Cave  3 , Ralph Dandrea  1
Affiliations

The Question of Data Integrity in Article-Level Metrics

Gregg Gordon et al. PLoS Biol. .

Abstract

Interest in and use of article-level metrics (ALMs) has grown rapidly amongst the research community, by researchers, publishers, funders, and research institutions. As this happens, it is critical to ensure secure and reliable data that is trustworthy and can be used by all. Two case studies are presented, which illustrate different approaches to establishing ALM data integrity.

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Conflict of interest statement

Jennifer Lin was an employee of PLOS at the time of writing, whose salary was supported by PLOS income derived from the publication of Open Access papers. Richard Cave is a former employee of PLOS whose salary was supported by PLOS income derived from the publication of Open Access papers.

Figures

Fig 1
Fig 1. SSRN fraudulent alert.
Fig 2
Fig 2. SSRN fraudulent activity detected.
Fig 3
Fig 3. PLOS comparison of PMC page views and downloads.
Fig 4
Fig 4. PLOS Medicine article with irregular page view activity.
See this image and copyright information in PMC

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Grants and funding

The authors received no specific funding for this work.