Slow, slow, quick, quick, slow: five altmetric sources observed over a decade show evolving trends, by research age, attention source maturity and open access status
Michael Taylor

TL;DR
This study analyzes a decade of altmetric data from 2008-2013 across six sampling points, revealing evolving patterns in attention sources like Twitter, Mendeley, News, Blogs, and Policy, influenced by research age, discipline, and open access status.
Contribution
It provides a comprehensive multi-year analysis of altmetric trends, highlighting how different attention sources evolve over time and their relation to open access and discipline.
Findings
Twitter attention is rapid and short-lived.
Mendeley readership grows quickly but shows signs of decline.
Policy citations are slow to develop and grow over a decade.
Abstract
The study of temporal trends in altmetrics is under-developed, and this multi-year observation study addresses some of the deficits in our understanding of altmetric behaviour over time. The attention surrounding research outputs, as partially captured by altmetrics, or alternative metrics, constitutes many varied forms of data. Over the years 2008-2013, a set of 7739 papers were sampled on six occasions. Five altmetric data sources were recorded (Twitter, Mendeley, News, Blogs and Policy) and analysed for temporal trends, with particular attention being paid to their Open Access status and discipline. Twitter attention both starts and ends quickly. Mendeley readers accumulate quickly, and continue to grow over the following years. News and blog attention is quick to start, although news attention persists over a longer timeframe. Citations in policy documents are slow to start, and are…
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Taxonomy
Topicsscientometrics and bibliometrics research · Misinformation and Its Impacts
