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Time- and exercise-dependent gene regulation in human skeletal muscle

Overview of attention for article published in Genome Biology, September 2003
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Citations

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202 Dimensions

Readers on

mendeley
185 Mendeley
connotea
3 Connotea
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Title
Time- and exercise-dependent gene regulation in human skeletal muscle
Published in
Genome Biology, September 2003
DOI 10.1186/gb-2003-4-10-r61
Pubmed ID
Authors

Alexander C Zambon, Erin L McDearmon, Nathan Salomonis, Karen M Vranizan, Kirsten L Johansen, Deborah Adey, Joseph S Takahashi, Morris Schambelan, Bruce R Conklin

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 185 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 4 2%
United States 3 2%
Sweden 2 1%
Netherlands 1 <1%
Italy 1 <1%
Chile 1 <1%
Germany 1 <1%
France 1 <1%
Unknown 171 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 16%
Researcher 26 14%
Professor 18 10%
Student > Bachelor 18 10%
Student > Master 17 9%
Other 46 25%
Unknown 30 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 45 24%
Biochemistry, Genetics and Molecular Biology 27 15%
Sports and Recreations 26 14%
Medicine and Dentistry 17 9%
Neuroscience 11 6%
Other 20 11%
Unknown 39 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 72. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 November 2022.
All research outputs
#591,479
of 25,374,917 outputs
Outputs from Genome Biology
#353
of 4,467 outputs
Outputs of similar age
#495
of 56,218 outputs
Outputs of similar age from Genome Biology
#2
of 23 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done particularly well, scoring higher than 92% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 56,218 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.