Evidence map›Paper›PMID 15340487›Full record

ArticleNature biotechnology2004

Funding high-throughput data sharing.

Catherine A Ball, Gavin Sherlock, Alvis Brazma

Abstract read
PubMed Publisher
In one paragraph

Article in Nature biotechnology, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Improving tuberculosis surveillance by detecting international transmission using publicly available whole genome sequencing data.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2021
    Article
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Creating views on integrated multidomain data.Bioinformatics (Oxford, England) · 2011
    Article
  7. Article
  8. Article
  9. The essential nature of sharing in science.Science and engineering ethics · 2010
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Enabling integrative genomic analysis of high-impact human diseases through text mining.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2008
    Article
  16. Article
  17. Article
  18. Article
  19. Navigating public microarray databases.Comparative and functional genomics · 2004
    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

3 authors.

Catherine A BallDepartment of Biochemistry, Stanford University School of Medicine, 269 Campus Drive, Stanford, CA 94305-5307, USA.
Gavin Sherlock
Alvis Brazma

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Biological Science DisciplinesCapital FinancingComputational BiologyDatabases, FactualInformation DisseminationInformation Storage and RetrievalResearchResearch Design

Identifiers

PMID15340487

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.