How are Article Metrics used in Scopus?
Last updated on November 19, 2020|
Using Scopus article metrics 
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Article metrics allow you to evaluate both citation impact and levels of community engagement around an article.
Note: Using an adblock add-on within your browser may affect Social Activity calculations and displayed benchmarking. Please disable all adblock add-ons to ensure Social Activity is reflected accurately within Scopus.
How
- From a Documents results list, click an article title. The Document details page opens.
- From the navigation menu, select 'Metrics'.
Email a document’s metric details
- From an article’s Metric details page, click 'Email'.
- Enter the email address for the message to be sent. Separate multiple addresses with a comma.
- Click 'Send'. An email message will be sent to the recipient email address(es) containing a hyperlink to the article’s Metrics page in Scopus.
The upper section of the Metric Details page shows citation metrics calculated and provided using Scopus data.
Metric |
Definition |
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Citation Count |
The Citation Count shows how many times this publication has been cited. |
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Views Count |
The Views Count is the sum of abstract views and clicks on the full-text link at the publisher website. The Views Count values in Scopus are aligned with SciVal. See more about Views Count values. |
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Field-Weighted Citation Impact |
Field-Weighted Citation Impact is the ratio of the total citations actually received by the denominator output, and the total citations that would be expected based on the average of the subject field. The FWCI values in Scopus are aligned with SciVal. |
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Citation Benchmarking |
The citation benchmarking is based on SciVal’s field-weighted version of the Outputs in Top Citation Percentiles metric. This metrics shows how citations received by this document compare with the average for documents in the same publication year, normalized by subject area. The 99th percentile is high, and indicates a document in the top 1% globally. The following criteria are used in the calculation:
Citation benchmarking compares articles within an 36 month window. The Citation Benchmarking only appears when compared to all three criteria. View more information about Outputs in Top Citation Percentile on our SciVal support center. |
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Cited by Graph |
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As people interact with research they leave online footprints. Plum Analytics gathers these footprints and creates and categorizes metrics on individual pieces of research output (articles, conference proceedings, book chapters, and more). These metrics are collectively known as PlumX Metrics.
By categorizing the metrics into five categories – Usage, Captures, Mentions, Social Media, and Citations – PlumX helps make sense of a large amount of metrics data and enables analysis by comparing metrics that are compatible.
PlumX Metrics Include:
Metric |
Definition |
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Plum Print |
A data visualization that dynamically changes to indicate the relative number of metrics in each category. 
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Usage (green) |
Usage indicates whether anyone is reading the articles or otherwise using the research. After citations, Usage is the top statistic researchers want to know. Example Metrics:
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Captures (purple) |
Capture metrics indicates that someone wants to come back to the work. Captures can be an early indicator of citations. Example Metrics:
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Mentions (yellow) |
Mentions are a measurement of activities such as news articles or blog posts about research. They indicate that people are actively engaging with the research. Example Metrics:
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Social Media (blue) |
Social Media can help measure “buzz” and attention. This category includes tweets, Facebook likes, etc. that reference the research. Example Metrics:
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Citations (red) |
This is a category for both traditional citation indexes such as Scopus, and a place to capture new citations that help indicate social impact such as Clinical or Policy Citations. Example Metrics:
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