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doi: 10.5281/zenodo.20046
Lagotto allows a user to aggregate relevant performance data on research articles, including how often an article has been viewed, cited, saved, discussed and recommended. The application was called Article-Level Metrics (ALM) until September 2014 and was started in March 2009 by the Open Access publisher Public Library of Science (PLOS). We are continuing to expand Lagotto because we believe that articles should be considered on their own merits, and that the impact of an individual article should not be determined by the journal in which it happened to be published. As a result, we hope that new ways of measuring and evaluating research quality (or ‘impact’) can and will evolve. Lagotto 4.2.1 was released on July 13, 2015 with the following changes: automatically archive all Lagotto releases in zenodo and register a DOI
lagotto, citations, downloads, twitter, article-level metrics, bibliometrics, alm, altmetrics, facebook, mendeley
lagotto, citations, downloads, twitter, article-level metrics, bibliometrics, alm, altmetrics, facebook, mendeley
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 6 |

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