Evidence map›Paper›PMID 20056729›Full record

ArticleBriefings in bioinformatics2010

Online tools for understanding rat physiology.

Melinda R Dwinell

Abstract read
In one paragraph

Article in Briefings in bioinformatics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Rat Models of Breast Cancer.Advances in experimental medicine and biology · 2025
    Review
  3. Article
  4. Review
  5. Article
  6. Quantitative phenotype analysis to identify, validate and compare rat disease models.Database : the journal of biological databases and curation · 2019
    Article
  7. Article
  8. A Primer for the Rat Genome Database (RGD).Methods in molecular biology (Clifton, N.J.) · 2018
    Article
  9. Article
  10. Article
  11. Article
  12. PhenoMiner: quantitative phenotype curation at the rat genome database.Database : the journal of biological databases and curation · 2013
    Article
  13. 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

1 author.

Melinda R DwinellHuman & Molecular Genetics Center at Medical College of Wisconsin, USA. mrdwinel@mcw.edu

Funding

RAT GENOME DATABASER01HL064541 · NHLBI · MEDICAL COLLEGE OF WISCONSIN · PI ANNE E. KWITEK · 1999 to 2026
$50.0M
PHYSIOGENOMICS OF STRESSORS IN DERIVED CONSOMIC RATSU01HL066579 · NHLBI · MEDICAL COLLEGE OF WISCONSIN · PI JACOB, HOWARD J · 2000 to 2007
$26.6M
NHLBI NIH HHS R01 HL064541NHLBI NIH HHS U01 HL066579
6 · The paper itself

Abstract

Rat models have been used to investigate physiological and pathophysiological mechanisms for decades. With the availability of the rat genome and other online resources, tools to identify rat models that mimic human disease are an important step in translational research. Despite the large number of papers published each year using rat models, integrating this information remains a problem. Resources for the rat genome are continuing to grow rapidly, while resources providing access to rat phenotype data are just emerging. An overview of rat models of disease, tools to characterize strain by phenotype and genotype, and steps being taken to integrate rat physiological data is presented in this article. Integrating functional and physiological data with the rat genome will build a solid research platform to facilitate innovative studies to unravel the mechanisms resulting in disease.

Indexed as

InternetAnimalsRatsSpecies Specificity

Identifiers

PMID20056729
PMCPMC2905522

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.