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. To learn more about Article-Level Metrics, see the SPARC ALM primer.
From: Fenner M, Lin J (2013). Altmetrics in Evolution: Defining & Redefining the Ontology of Article-Level Metrics. http://dx.doi.org/10.3789/isqv25no2.2013.04.
As a user you will typically see Article-Level Metrics displayed on journal pages or in specialized web applications. You can sign up with your Mozilla Persona account here if you want direct access to the underlying data - this will give you an API key for API access and will alert you when the monthly summary stats are available for download. The online documentation gives detailed instructions on how data from external sources are collected.
For Publishers and Providers
To facilitate the dissemination of Article-Level Metrics, PLOS has made this application available as Open Source software under a MIT License. Detailed instructions on how to install and setup Lagotto are available in the documentation, and the installation and setup can be done in under an hour.
The following organizations are using Lagotto:
- Public Library of Science (PLOS)
- Copernicus Publications
- Public Knowledge Project (PKP)
- CrossRef Labs
Live status information for the publicly available Lagotto instances is here.
We always welcome feedback and code contributions, and we have a growing list of contributors. For technical questions regarding the Article-Level Metrics application, visit the PLOS API Developers Google Group or use the Github issue tracker.