Evidence map›Paper›PMID 20048255›Full record

ArticleMolecular biology of the cell2010

It's the data!

David Botstein

Abstract readHistorical ArticleComment
In one paragraph

Article in Molecular biology of the cell, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Implications of Big Data for cell biology.Molecular biology of the cell · 2015
    Article
  4. Article
  5. Review
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

David BotsteinLewis-Sigler Institute for Integrative Genomics, Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA. botstein@princeton.edu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Three articles from the early years of Molecular Biology of the Cell (MBoC) have had remarkably many citations in the literature since their publication approximately 10 years ago. As a coauthor of these articles and the former editor of MBoC, I was asked for possible explanations. I believe the answer lies in the unusual nature of these articles: each presents and summarizes gene expression data for nearly every gene in the yeast or human genomes. Continuing interest in the data themselves by cell biologists, rather than results or conclusions drawn by the authors, best accounts for the citation history. The flatness of the numbers of citations over time, the continuing high rate of accesses to individual Web sites set up to allow searching and display of the underlying data, and the large fraction of citations in journals focused on mathematics and computation all support the same conclusion: it's the data.

Indexed as

BibliometricsAccess to InformationDatabases as TopicEditorial PoliciesHistory, 20th CenturyHistory, 21st CenturyHumansSaccharomyces cerevisiaeStatistics as Topic

Identifiers

PMID20048255
PMCPMC2801718

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.