KKU Altmetric Top Articles
An introduction to Altmetrics in KKU Altmetric Top Articles
An introduction
Altmetrics are metrics and qualitative data that are complementary to traditional, citation-based metrics.
They can include (but are not limited to) peer reviews on Faculty of 1000, citations on Wikipedia and in public policy documents, discussions on research blogs, mainstream media coverage, bookmarks on reference managers like Mendeley, and mentions on social networks such as Twitter.
Sourced from the Web, altmetrics can tell you a lot about how often journal articles and other scholarly outputs like datasets are discussed and used around the world. For that reason, altmetrics have been incorporated into researchers’ websites, institutional repositories, journal websites, and more.
An at-a-glance indicator of the volume and type of attention a research output has received
The Altmetric Attention Score and donut are designed to help you easily identify how much and what type of attention a research output has received. You might come across them on publisher article metrics pages, institutional repositories, or even individual researcher or lab publications pages.
You can always click on the donut to visit the details page for the research output, to see the original mentions and references that have contributed to the attention score.
Altmetric track a unique range of online sources to capture the conversations relating to research outputs
We monitor the following sources for mentions of research outputs to bring you the most relevant and up to date picture of the online activity and discussion.
Fully auditable, real-time updates of the online activity surrounding published research
Since early 2012 we’ve been monitoring a range of non-traditional sources, searching for links and references to published research. Today the Altmetric database contains 60 million mentions of over 9 million research outputs (including journal articles, datasets, images, white papers, reports and more), and is constantly growing.
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Developed by Kanrapee Palarit @Computer Engineering, Khon Kaen University.