Evidence map›Paper›PMID 19363119›Full record

ReviewJournal of bacteriology2009

Gene expression profiling and the use of genome-scale in silico models of Escherichia coli for analysis: providing context for content.

Nathan E Lewis, Byung-Kwan Cho, Eric M Knight, Bernhard O Palsson

Abstract readReview
In one paragraph

Review in Journal of bacteriology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Global transcriptional regulatory network forProceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Systems biology definition of the core proteome of metabolism and expression is consistent with high-throughput data.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  18. Article
  19. Article
  20. Computational evaluation of cellular metabolic costs successfully predicts genes whose expression is deleterious.Proceedings of the National Academy of Sciences of the United States of America · 2013
    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

4 authors.

Nathan E LewisDepartment of Bioengineering, University of California, San Diego, 9500 Gilman Drive, Mail Code 0412, La Jolla, CA 92093-0412, USA.
Byung-Kwan Cho
Eric M Knight
Bernhard O Palsson

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Escherichia coliGene Expression ProfilingModels, Biological

Identifiers

PMID19363119
PMCPMC2681886

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.