Lagotto is an Open Source application started in March 2009 by the Open Access publisher Public Library of Science (PLOS) to collect events around scholarly content. Lagotto retrieves data from a wide set of services (sources). Some of these sources represent the actual channels where users are directly viewing, sharing, discussing, citing, recommending the works (e.g., Twitter and Mendeley). Others are third-party vendors which provide this information (e.g. CrossRef for citations).
Traditionally, the impact of research articles has been measured by the publication journal. But a more informative view is one that examines the overall performance and reach of the articles themselves. Article-Level Metrics (ALM) capture the manifold ways in which research is disseminated and used.
From: Fenner M, Lin J (2013). Altmetrics in Evolution: Defining & Redefining the Ontology of Article-Level Metrics. http://doi.org/10.3789/isqv25no2.2013.04.
The collection of metrics shouldn't be limited to journal articles, but can include all relevant research outputs, e.g. datasets (data-level metrics) or software (software-level metrics).
For Publishers and Providers
The following organizations are using Lagotto (live status information available here):
- Public Library of Science (PLOS)
- Copernicus Publications
- Public Knowledge Project (PKP)
- CrossRef Labs
- Making Data Count (Data-Level Metrics NSF project)
- Ubiquity Press
Users can access the data via the API, or via one of the client applications:
We always welcome feedback and code contributions, and we have a growing list of contributors. For questions or comments regarding Lagotto, visit the Lagotto support forum or use the Github issue tracker.