Evidence map›Paper›PMID 19508734›Full record

ArticleBMC research notes2009

GenBank and PubMed: How connected are they?

Holly Miller, Catherine N Norton, Indra Neil Sarkar

Abstract read
In one paragraph

Article in BMC research notes, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. A high-precision rule-based extraction system for expanding geospatial metadata in GenBank records.Journal of the American Medical Informatics Association : JAMIA · 2016
    Article
  3. Article
  4. Article
  5. SeedSeq: off-target transcriptome database.BioMed research international · 2013
    Article
  6. Detection of horizontal gene transfers from phylogenetic comparisons.International journal of evolutionary biology · 2012
    Article
  7. Metadata management and semantics in microarray repositories.Balkan journal of medical genetics : BJMG · 2011
    Article
  8. Marine natural products: a new wave of drugs?Future medicinal chemistry · 2011
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. A vector space model approach to identify genetically related diseases.Journal of the American Medical Informatics Association : JAMIA
    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.

Holly MillerMBLWHOI Library, Marine Biological Laboratory, 7 MBL Street, Woods Hole, MA 02543, USA. hmiller@mbl.edu
Catherine N Norton
Indra Neil Sarkar

Funding

Enhancing Organism Based Disease Knowledge Via Name Based Taxonomic IntelligenceR01LM009725 · NLM · MARINE BIOLOGICAL LABORATORY · PI SARKAR, INDRA N · 2008 to 2010
$1.1M
NLM NIH HHS R01 LM009725
6 · The paper itself

Abstract

backgroundGenBank is a public repository of all publicly available molecular sequence data from a range of sources. In addition to relevant metadata (e.g., sequence description, source organism and taxonomy), publication information is recorded in the GenBank data file. The identification of literature associated with a given molecular sequence may be an essential first step in developing research hypotheses. Although many of the publications associated with GenBank records may not be linked into or part of complementary literature databases (e.g., PubMed), GenBank records associated with literature indexed in Medline are identifiable as they contain PubMed identifiers (PMIDs).

resultsHere we show that an analysis of 87,116,501 GenBank sequence files reveals that 42% are associated with a publication or patent. Of these, 71% are associated with PMIDs, and can therefore be linked to a citation record in the PubMed database. The remaining (29%) of publication-associated GenBank entries either do not have PMIDs or cite a publication that is not currently indexed by PubMed. We also identify the journal titles that are linked through citations in the GenBank files to the largest number of sequences.

conclusionOur analysis suggests that GenBank contains molecular sequences from a range of disciplines beyond biomedicine, the initial scope of PubMed. The findings thus suggest opportunities to develop mechanisms for integrating biological knowledge beyond the biomedical field.

Identifiers

PMID19508734
PMCPMC2704225

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.