Evidence map›Paper›PMID 28559438›Full record

ArticleMolecular biology of the cell2017

Article-level assessment of influence and translation in biomedical research.

George M Santangelo

Open access · greenAbstract read
In one paragraph

Article in Molecular biology of the cell, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 7% of its field
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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Prediction of transformative breakthroughs in biomedical research.bioRxiv : the preprint server for biology · 2025
    Article
  5. Article
  6. Predicting substantive biomedical citations without full text.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  7. Article
  8. Article
  9. Methods for identifying biomedical translation: a systematic review.American journal of translational research · 2022
    Review
  10. Article
  11. Evaluating Journal Impact Factor: a systematic survey of the pros and cons, and overview of alternative measures.The journal of venomous animals and toxins including tropical diseases · 2020
    Article
  12. Article
  13. Article
  14. Article
  15. The relative citation ratio: what is it and why should medical librarians care?Journal of the Medical Library Association : JMLA · 2018
    Article
  16. Article
  17. Article
  18. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

George M SantangeloOffice of Portfolio Analysis, Division of Program Coordination, Planning, and Strategic Initiatives, National Institutes of Health, Bethesda, MD 20892 santangelogm@od.nih.gov.
National Institutes of Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given the vast scale of the modern scientific enterprise, it can be difficult for scientists to make judgments about the work of others through careful analysis of the entirety of the relevant literature. This has led to a reliance on metrics that are mathematically flawed and insufficiently diverse to account for the variety of ways in which investigators contribute to scientific progress. An urgent, critical first step in solving this problem is replacing the Journal Impact Factor with an article-level alternative. The Relative Citation Ratio (RCR), a metric that was designed to serve in that capacity, measures the influence of each publication on its respective area of research. RCR can serve as one component of a multifaceted metric that provides an effective data-driven supplement to expert opinion. Developing validated methods that quantify scientific progress can help to optimize the management of research investments and accelerate the acquisition of knowledge that improves human health.

Indexed as

Journal Impact FactorBiomedical ResearchHumansKnowledgePublicationsPublishingResearch Personnel

Identifiers

PMID28559438
PMCPMC5449139
OpenAlexW2618284986

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.