Evidence map›Paper›PMID 39005482›Full record

ArticlePatterns (New York, N.Y.)2024

The landscape of biomedical research.

Rita González-Márquez, Luca Schmidt, Benjamin M Schmidt, Philipp Berens, Dmitry Kobak

Abstract read
In one paragraph

Article in Patterns (New York, N.Y.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Review
  3. Evidence-Based Medicine Meets Artificial Intelligence: Reframing Critical Appraisal in Emergency Medicine.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
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  17. Article
  18. Article
  19. Article
  20. Review
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

5 authors.

Rita González-MárquezHertie Institute for AI in Brain Health, University of Tübingen, Germany.
Luca SchmidtHertie Institute for AI in Brain Health, University of Tübingen, Germany.
Benjamin M SchmidtNomic AI, New York, New York, USA.
Philipp BerensHertie Institute for AI in Brain Health, University of Tübingen, Germany.
Dmitry KobakHertie Institute for AI in Brain Health, University of Tübingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The number of publications in biomedicine and life sciences has grown so much that it is difficult to keep track of new scientific works and to have an overview of the evolution of the field as a whole. Here, we present a two-dimensional (2D) map of the entire corpus of biomedical literature, based on the abstract texts of 21 million English articles from the PubMed database. To embed the abstracts into 2D, we used the large language model PubMedBERT, combined with

Indexed as

embeddingsgender biaslanguage modelsmachine learningmetasciencepublicationsPubMedretractionsvisualization

Identifiers

PMID39005482
PMCPMC11240179

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.