Cited by 3Genetics and Physical PerformanceCardiovascular and exercise physiologyNutrition, Genetics, and Disease

Commentary on viewpoint: perspective on the future use of genomics in exercise prescription.

Pescatello, Linda S.·2008·Journal of Applied Physiology

Integrity signals

Registry

Crossref · 10.1152/japplphysiol.01312.2007

Cites

9 of 9 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Analysis of the genetics of participants is helpful in supporting individualization of acute physical exercise and/or physical training by aiding the identification of potential responders and non-responders.

    “However, analysis of the genetics of participants is undoubtedly helpful in supporting individualization of acute physical exercise and/or physical training by aiding, for instance, the identification of potential responders and non-responders (Lightfoot, 2008; Pescatello, 2008; Booth and Laye, 2010; Timmons et al., 2010; Timmons, 2011; Pickering and Kiely, 2019a, b).”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Pescatello, L. S.
Corresponding author
Pescatello, Linda S.
Venue
Journal of Applied Physiology
Published
2008-04
Volume
104
Issue
4
Pages
1247-1247
ISSN
  • 0161-7567 (ISSN-L)
  • 8750-7587
  • 1522-1601
OpenAlex
W2150109447
Cited by
3
References
9
Citations by year
2019: 2 · 2014: 1
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Applied Physiology (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Physical Performance
  • Health Sciences › Medicine › Complementary and alternative medicine › Cardiovascular and exercise physiology
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Nutrition, Genetics, and Disease
Keywords
exercise prescription, genomics, personalized exercise, genetic variation
MeSH terms
Humans, Physical Fitness, Exercise, Genomics, Prescriptions

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review