Evidence map›Paper›PMID 19048073›Full record

ArticleDisease models & mechanisms

Removing the cloak of invisibility: phenotyping the mouse.

Monica J Justice

Open access · greenAbstract read
In one paragraph

Article in Disease models & mechanisms. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Optical Coherence Tomography for live imaging of mammalian development.Current opinion in genetics & development · 2011
    Review
  8. Optimising experimental design for high-throughput phenotyping in mice: a case study.Mammalian genome : official journal of the International Mammalian Genome Society · 2010
    Article
  9. Article
  10. 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

1 author at 1 institution in 1 country.

Monica J JusticeBaylor College of Medicine, One Baylor Plaza R804, Houston, TX 77030, USA. mjustice@bcm.edu
Baylor College of Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

If you study a human disease, it is likely that you have tried to generate a mouse model. Sometimes, these models are excellent; others are disappointing. Or, so we think. How often does our mouse mutant not model the human disease because of limitations in how we may look at it? In any living organism, many factors work together to produce the phenotype. Here, new phenotyping paradigms for assessing mouse biology and physiology are described and proposed. Advances in mouse phenotype assessments have paralleled human clinical diagnostics. The future brings a multitude of mouse strains that might be exposed to a variety of conditions. To assess health will require the ability to perform a broad-based phenotype assessment of every animal until we can understand how the perturbation of one system affects others.

Indexed as

Disease Models, AnimalAnimalsHumansMicePhenotype

Identifiers

PMID19048073
PMCPMC2562182
OpenAlexW1966552082

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.