Evidence map›Paper›PMID 22733777›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2012

Heavy use of equations impedes communication among biologists.

Tim W Fawcett, Andrew D Higginson

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed.

  1. On the makeup of high-impact reviews in ecology.Eco-Environment & Health · 2026
    Article
  2. Review
  3. Does your surname undermine your research impact?Psychonomic bulletin & review · 2025
    Article
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  8. Review
  9. Article
  10. A memory-theoretic account of citation propagation.Royal Society open science · 2024
    Article
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  12. Review
  13. Article
  14. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Tim W FawcettSchool of Biological Sciences, University of Bristol, Bristol BS8 1UG, United Kingdom. tim.fawcett@cantab.net
Andrew D Higginson

Funding

European Research Council 250209
6 · The paper itself

Abstract

Most research in biology is empirical, yet empirical studies rely fundamentally on theoretical work for generating testable predictions and interpreting observations. Despite this interdependence, many empirical studies build largely on other empirical studies with little direct reference to relevant theory, suggesting a failure of communication that may hinder scientific progress. To investigate the extent of this problem, we analyzed how the use of mathematical equations affects the scientific impact of studies in ecology and evolution. The density of equations in an article has a significant negative impact on citation rates, with papers receiving 28% fewer citations overall for each additional equation per page in the main text. Long, equation-dense papers tend to be more frequently cited by other theoretical papers, but this increase is outweighed by a sharp drop in citations from nontheoretical papers (35% fewer citations for each additional equation per page in the main text). In contrast, equations presented in an accompanying appendix do not lessen a paper's impact. Our analysis suggests possible strategies for enhancing the presentation of mathematical models to facilitate progress in disciplines that rely on the tight integration of theoretical and empirical work.

Indexed as

Biological EvolutionCommunication BarriersMathematicsEcologyInformation DisseminationJournal Impact FactorModels, Statistical

Identifiers

PMID22733777
PMCPMC3406806

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.