Research impact measures the affect of your research in the world. This can be measured as the impact of a single article or the total research produced by an author as a whole. There are multiple metrics used to measure article and author impact including traditional metrics and altmetrics. Using multiple metrics gives a holistic view of research impact.
Why is it important?
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Author impact is a reflection of the overall impact of a researcher in their field. This includes the number of articles published, the number of citations or the average number of citations per publication. Good metrics are generally reliable, however weak metrics are not necessarily due to low impact. Do not rely on on one set of metrics to fully represent your impact.
Common author metrics
The below table provides an overview of several common, freely available author-level metrics, their use and limitations, and where to find your own.
Metric | Site | Use | Limitations |
---|---|---|---|
Number of published articles |
Total number of articles ever published Indicates productivity |
Does not take research quality or level of impact into account | |
Number of citations |
Total number of times an author's work has been cited Measures scholarly influence |
Publication type influences citation patterns (review articles receive a disproportionate number of citations). | |
H-index |
Indicates the number of papers (h) an author has published that have been cited at least (h) times Measures scholarly influence and productivity |
Favours prolific authors and established researchers as citations increase over time. Insensitive to highly cited papers. Should not be used to compare researchers in different field. |
|
i10-Index | Google Scholar |
Number of citations that have at least 10 citations Measures scholarly influence and productivity |
Only measures citations in Google scholar. |
Personal Impact Factor | Scopus Preview |
Calculates the average number of citations for all research published by an author Measures average scholarly impact |
Includes self citations and is only available in Scopus Preview |
Additional author-level metrics are available via subscription databases such as InCites, SciVal, and the paid version of Scopus. Researchers affiliated with a university may have access to these databases.
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Article impact reflects and demonstrates the influence of a single publication. Traditional metrics, such as number of citations, are better suited to traditionally published works. Altmetrics are better suited to measuring non peer-reviewed journal articles such as conference presentations or guidelines.
Traditional Article Metrics
The below table provides an overview of common article-level metrics, their use and limitations, and where to find your own.
Metric | Site | Use | Limitations |
---|---|---|---|
Number of citations | Google Scholar | Total number of citations of that article | This number may differ between databases as each database may not have every publication that has cited your publication. |
Percentile or Citation Benchmarking* |
Indicates the impact of an article compared to similar ones. Based on publication date, document type and discipline. |
Can be used to compare researchers and articles from different fields. | |
Field Weighted Citation Impact* (FWCI) |
Ratio of actual citations compared to expected number of citation based on field averages. FWCI =1 impact is equal to average FWCI <1 impact is less than average FWCI >1 impact is greater than average |
Can be used to compare researchers and articles from different fields. Suitable for fields with fewer citations generated compared to STEM areas of research |
*If you are affiliated with a university, you may have access to the subscription version of Scopus, SciVal and Web of Science to access Citation Benchmarking and Field Weighted Citation Impact metrics.
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Altmetrics are non-traditional or alternative metrics that consider the impact of research beyond citations in peer reviewed literature. It measures the impact of your research on social media, in scholarly networking sites, in repositories and in policy.
Why are altmetrics important?
What tools can I use to measure altmetrics?
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