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Diurnal variation of the human adipose transcriptome and the link to metabolic disease

Overview of attention for article published in BMC Medical Genomics, February 2009
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

twitter
4 X users
video
1 YouTube creator

Citations

dimensions_citation
94 Dimensions

Readers on

mendeley
105 Mendeley
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Title
Diurnal variation of the human adipose transcriptome and the link to metabolic disease
Published in
BMC Medical Genomics, February 2009
DOI 10.1186/1755-8794-2-7
Pubmed ID
Authors

Andrey Loboda, Walter K Kraft, Bernard Fine, Jeffrey Joseph, Michael Nebozhyn, Chunsheng Zhang, Yudong He, Xia Yang, Christopher Wright, Mark Morris, Ira Chalikonda, Mark Ferguson, Valur Emilsson, Amy Leonardson, John Lamb, Hongyue Dai, Eric Schadt, Howard E Greenberg, Pek Yee Lum

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Netherlands 1 <1%
United Kingdom 1 <1%
Belgium 1 <1%
Russia 1 <1%
Luxembourg 1 <1%
Unknown 99 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 18%
Researcher 19 18%
Student > Bachelor 14 13%
Student > Master 8 8%
Student > Doctoral Student 5 5%
Other 18 17%
Unknown 22 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 27%
Medicine and Dentistry 22 21%
Biochemistry, Genetics and Molecular Biology 13 12%
Sports and Recreations 2 2%
Nursing and Health Professions 2 2%
Other 10 10%
Unknown 28 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 11 December 2022.
All research outputs
#6,966,855
of 23,318,744 outputs
Outputs from BMC Medical Genomics
#321
of 1,252 outputs
Outputs of similar age
#47,301
of 173,177 outputs
Outputs of similar age from BMC Medical Genomics
#3
of 7 outputs
Altmetric has tracked 23,318,744 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,252 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 74% 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 173,177 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.