fCite

fCite calculates fractional bibliometric metrics to analyze individual scientific research output and attribute contributions within multi-author publications.


Key Features:

  • Fractional Scoring System: Divides citations and Relative Citation Ratios (RCR) by the number of authors to produce fractional scores reflecting individual contribution per publication.
  • Comprehensive Metric Analysis: Evaluates a range of metrics beyond total citations and H-index to provide a multifaceted profile of research output.
  • Data Sources: Aggregates and analyzes PubMed data (~18 million publications) and integrates ORCID profiles (~600,000 researchers) for attribution.

Scientific Applications:

  • Research Productivity Assessment: Quantifies individual scientific output and impact for researchers, institutions, and funding bodies.
  • Authorship Attribution: Distinguishes individual contributions within collaborative, multi-author publications.
  • Evaluation Support: Informs assessments for grant applications, academic promotion, and career advancement decisions.

Methodology:

Aggregates and normalizes citation data from PubMed, integrates ORCID profiles for researcher attribution, and divides citation counts and RCR scores by number of authors to compute fractional metrics.

Topics

Details

License:
CC-BY-NC-ND-2.5
Maturity:
Mature
Cost:
Free of charge
Tool Type:
api
Added:
6/7/2021
Last Updated:
6/7/2021

Operations

Publications

Kozlowski LP. <i>fCite</i>: a fractional citation tool to quantify an individual’s scientific research output. Unknown Journal. 2019. doi:10.1101/771485.

Documentation

Quick start guide
http://fcite.org/help.html
General help
General
http://fcite.org/stats.html
Some statistics
FAQ
http://fcite.org/frequently_asked_questions.html
Answers for Frequently Asked Questions
Training material
http://fcite.org/examples.html
Interesting examples

Links

Repository
https://doi.org/10.18150/repod.3945420
(fCite data: PUBMED data set containing publications with PMID numbers from 7 million to 19 million (json format))
Repository
https://doi.org/10.18150/repod.2195699
(PUBMED data set containing publications with PMID numbers from 20 million to 32 million (json format))

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