Researchers, funders, and institutions are increasingly interested in the impact of their work. Research metrics are quantitative measures that can help you select which journal to publish in and assess the ongoing impact of your research. Use the resources on this page to help you understand what they are and how to use them.
Article-level metrics help you assess the impact and reach of an individual journal article and the attention it is receiving. Watch our video guide for a quick overview of article-metrics, and why they’re important to researchers.
Here’s some more on each of these different article-level metrics:
The Altmetric Attention Score or ‘Altmetric’ enables you to see the attention your article is getting from non-traditional sources, including:
You can use Altmetric to explore the conversations around your work and understand the impact it is having beyond the academic world.
By tracking scholarly and non-scholarly online indicators, Altmetric LLP collects article-level metrics and the online conversations around articles on Taylor & Francis Online. “Mentions” that contain links to any version of the same article are picked up and collated, and the result is the Altmetric Attention Score, which is represented in the donut-shaped graphic.
On Taylor & Francis Online, the overall score for each article is displayed on each article’s page under the ‘Metrics’ tab.
You can click on the Altmetric Attention Score donut to be taken to a detailed report which will show you every mention for your article across Twitter, blogs, mainstream media outlets, Facebook, and more. You can also see demographics, such as which parts of the world mentions are coming from.
Altmetric Attention Scores can help you build your online presence, demonstrate the broader impact of your work, and increase the chances of receiving grant funding. To make the most of the data around your articles you might like to:
The Altmetric Attention Score is a weighted count of the attention that a scholarly article has received. It is derived from three main factors:
As with all metrics, you need to put an Altmetric Attention Score into context and take time to interpret what it means for your research.
The mentions contributing to the Altmetric Attention Score could be both positive and negative, so there isn’t such a thing as a ‘good’ score. For example, an article may have a high attention score because of negative coverage in the news or mentions on Twitter.
Altmetric scores also vary by journal. A journal with a wider readership may have a higher Altmetric score because more people are reading and sharing it. So, a good score for one journal may not be good for another.
Looking at how your work is being cited can help you:
However, as with all metrics you need to dig deeper to understand what they mean for you. Citations are someone referencing your work – not necessarily an endorsement.
Citations patterns and practices also vary across disciplines.
You can see your article’s citations by navigating to the ‘Citations’ tab for your article.
Here you can also sign up to citation updates, powered by Web of Science, which include direct links to the relevant article, so you can easily keep up to date with who is citing your work.
Article views can help you understand the readership your article is getting. Check the number of full text views of your article using the ‘Metrics’ tab on Taylor & Francis Online.
You can also use Authored works to see the views of all your articles published on Taylor & Francis Online, all in one place.
Alongside article-level metrics, there are also author-level metrics such as H-index which can help you understand the impact of your body of work as a whole. Find out more about the H-index and other metrics on Editor Resources.
Journal-level metrics can be useful for understanding how journals are being used by the academic community, and help you choose a journal. Learn more about different journal-level metrics, as well as pros and cons on Editor Resources.