Evidence map›Paper›PMID 21677033›Full record

ReviewBriefings in bioinformatics2011

When orthologs diverge between human and mouse.

Walid H Gharib, Marc Robinson-Rechavi

Abstract readReview
In one paragraph

Review in Briefings in bioinformatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

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

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Review
  18. Region-resolved proteomics profiling of monkey heart.Journal of cellular physiology · 2019
    Article
  19. Article
  20. Organs to Cells and Cells to Organoids: The Evolution ofFrontiers in cellular neuroscience · 2019
    Review
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

2 authors.

Walid H GharibDepartment of Ecology and Evolution, Biophore, Swiss Institute of Bioinformatics, Lausanne University, CH-1015 Lausanne, Switzerland.
Marc Robinson-Rechavi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the common assumption that orthologs usually share the same function, there have been various reports of divergence between orthologs, even among species as close as mammals. The comparison of mouse and human is of special interest, because mouse is often used as a model organism to understand human biology. We review the literature on evidence for divergence between human and mouse orthologous genes, and discuss it in the context of biomedical research.

Indexed as

Evolution, MolecularAnimalsDatabases, GeneticGene Expression ProfilingGenomeGenomicsHumansMiceSpecies Specificity

Identifiers

PMID21677033
PMCPMC3178054

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.