Abstract
Emerging metrics based on article-level does not exclude traditional metrics based on citations to the journal, but complements them. Both can be employed in conjunction to offer a richer picture of an article use from immediate to long terms. Article-level metrics (ALM) is the result of the aggregation of different data sources and the collection of content from multiple social network services. Sources used for the aggregation can be broken down into five categories: usage, captures, mentions, social media and citations. Data sources depend on the tool, but they include classic metrics indicators based on citations, academic social networks (Mendeley, CiteULike, Delicious) and social media (Facebook, Twitter, blogs, or Youtube, among others). Altmetrics is not synonymous with alternative metrics. Altmetrics are normally early available and allow to assess the social impact of scholarly outputs, almost at the real time. This paper overviews briefly the meaning of altmetrics and describes some of the existing tools used to apply this new metrics: Public Library of Science - Article-Level Metrics, Altmetric, Impactstory and Plum.
Highlights
If we look back just a few decades, with the birth of the Internet, the publishing world suffered a revolution comparable with the invention of printing [1], both in its effects on communication and in its ability to connect environments in ways inconceivable in the printing era
Article-level metrics (ALM) are more granular than traditional models, because ALMs trace the impact of individual articles as standalone entities
This paper aims to give a brief overview of the existing ALM tools, and some examples of academic networks, which offer some statistics that complement traditional impact research analysis
Summary
If we look back just a few decades, with the birth of the Internet, the publishing world suffered a revolution comparable with the invention of printing [1], both in its effects on communication and in its ability to connect environments in ways inconceivable in the printing era. A group of editors and publishers of scholarly journals developed a set of recommendations, referred to as the San Francisco Declaration on Research Assessment (DORA) [4]. DORA declaration has been signed by more than 500 organizations and more than 12,000 individuals and is still open for new signatories In this regard, Nature has recently published the Leiden Manifesto for Research Metrics [5], named after the Science and Technology Indicators (STI) Conference in Leiden in 2014, at which it arised. ALMs are more granular than traditional models, because ALMs trace the impact of individual articles as standalone entities They are more immediate, because they track at real time posts or comments on blogs, Facebook and Twitter, among other social media (Figure 1)
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