Evidence map›Paper›PMID 20195254›Full record

ArticleNature methods2010

Visualizing biological data-now and in the future.

Seán I O'Donoghue, Anne-Claude Gavin, Nils Gehlenborg, David S Goodsell, Jean-Karim Hériché, Cydney B Nielsen, Chris North, Arthur J Olson, James B Procter, David W Shattuck and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature methods, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 1 pooled it
–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

61 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Elements and roadmap for interactive molecular graphics and modeling "in the Holodeck".Protein science : a publication of the Protein Society · 2026
    Article
  3. Rapid Exploratory Data Visualization for Cancer Genomics.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. escheR: Unified multi-dimensional visualizations with Gestalt principles.bioRxiv : the preprint server for biology · 2023
    Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Modeling in the Time of COVID-19: Statistical and Rule-based Mesoscale Models.IEEE transactions on visualization and computer graphics · 2021
    Article
  18. Article
  19. Article
  20. Article

1 more citing papers are in PubMed but not listed here.

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

12 authors.

Seán I O'DonoghueEuropean Molecular Biology Laboratory, Heidelberg, Germany. sean.odonoghue@embl.de
Anne-Claude Gavin
Nils Gehlenborg
David S Goodsell
Jean-Karim Hériché
Cydney B Nielsen
Chris North
Arthur J Olson
James B Procter
David W Shattuck
Thomas Walter
Bang Wong

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methods and tools for visualizing biological data have improved considerably over the last decades, but they are still inadequate for some high-throughput data sets. For most users, a key challenge is to benefit from the deluge of data without being overwhelmed by it. This challenge is still largely unfulfilled and will require the development of truly integrated and highly useable tools.

Indexed as

Image Processing, Computer-AssistedSystems IntegrationUser-Computer Interface

Identifiers

PMID20195254

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.