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Human growth is associated with distinct patterns of gene expression in evolutionarily conserved networks

Overview of attention for article published in BMC Genomics, August 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

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11 X users
facebook
1 Facebook page

Citations

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61 Dimensions

Readers on

mendeley
69 Mendeley
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1 CiteULike
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Title
Human growth is associated with distinct patterns of gene expression in evolutionarily conserved networks
Published in
BMC Genomics, August 2013
DOI 10.1186/1471-2164-14-547
Pubmed ID
Authors

Adam Stevens, Daniel Hanson, Andrew Whatmore, Benoit Destenaves, Pierre Chatelain, Peter Clayton

Abstract

A co-ordinated tissue-independent gene expression profile associated with growth is present in rodent models and this is hypothesised to extend to all mammals. Growth in humans has similarities to other mammals but the return to active long bone growth in the pubertal growth spurt is a distinctly human growth event. The aim of this study was to describe gene expression and biological pathways associated with stages of growth in children and to assess tissue-independent expression patterns in relation to human growth.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Sweden 1 1%
Italy 1 1%
Luxembourg 1 1%
Unknown 64 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 28%
Researcher 14 20%
Professor 8 12%
Student > Master 7 10%
Student > Bachelor 6 9%
Other 11 16%
Unknown 4 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 23%
Biochemistry, Genetics and Molecular Biology 15 22%
Medicine and Dentistry 12 17%
Psychology 5 7%
Neuroscience 4 6%
Other 9 13%
Unknown 8 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 22 September 2013.
All research outputs
#4,788,399
of 25,374,647 outputs
Outputs from BMC Genomics
#1,842
of 11,244 outputs
Outputs of similar age
#38,780
of 208,905 outputs
Outputs of similar age from BMC Genomics
#35
of 188 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 83% 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 208,905 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 188 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.