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Research Impact Metrics

Provides an overview of Research Impact Metrics

Outputs in Top Citation Percentiles and % Documents in Top 1% and Top 10%

Sample Statement:

"17.5% of my publications are in the top 10% citation percentile. This is considerably higher than the 13.2% worldwide average for experimental and cognitive psychology."

Outputs in Top Citation Percentiles in SciVal

  • Purpose: this metric indicates the extent to which an entity’s publications are present in the most-cited percentiles (top 1%, 5%, 10%, or 25%) of the Scopus database.
  • Calculation: citation thresholds for the top percentiles are updated weekly. Publications are sorted by citation count and divided into percentiles. The metric shows how many of an entity’s publications fall within these top percentiles.
  • Field Weighting: when field weighting is applied, the Field-Weighted Citation Impact (FWCI) is used instead of raw citation counts to calculate percentile thresholds.

Go to SciVal

  1. Go to Explore, click Entity list  Entity List and select a researcher from Researchers and GroupsResearchers & Groups
  2. If the researcher not listed, select Create/Import, and then Define a new Researcher and follow the prompts.
  3. Select the required year range and Apply.
  4. Select Publication Metrics from Bibliometrics list and scroll down to the Outputs in Top Citation Percentiles.

Go to Incites

  1. Go to Analyse and then Researchers.
  2. Type the researcher surname into the search box or unique ID (e.g. ORCID), then select from the list.
  3. Change the date range as required e.g. custom range starting from your first year of publishing.
  4. Using the table go to Documents in Top 10%.
  5. If the documents are not in table, go to Indicators and add the required ones.

 

  • This metric is useful for comparing entities within the same discipline. Caution is advised when comparing across different disciplines due to varying citation practices.
  • Entities may have publications missing from the Scopus database. Small entities can be disproportionately affected by missing highly cited publications.
  • Excessive self-citations can inflate the metric.
  • Early-career researchers or new research areas may not be well-represented due to insufficient citation time.