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The GENOTEND chip: a new tool to analyse gene expression in muscles of beef cattle for beef quality prediction

Overview of attention for article published in BMC Veterinary Research, August 2012
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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 (84th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

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9 X users
facebook
1 Facebook page

Citations

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27 Dimensions

Readers on

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55 Mendeley
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Title
The GENOTEND chip: a new tool to analyse gene expression in muscles of beef cattle for beef quality prediction
Published in
BMC Veterinary Research, August 2012
DOI 10.1186/1746-6148-8-135
Pubmed ID
Authors

Jean-Francois Hocquette, Carine Bernard-Capel, Veronique Vidal, Beline Jesson, Hubert Levéziel, Gilles Renand, Isabelle Cassar-Malek

Abstract

Previous research programmes have described muscle biochemical traits and gene expression levels associated with beef tenderness. One of our results concerning the DNAJA1 gene (an Hsp40) was patented. This study aims to confirm the relationships previously identified between two gene families (heat shock proteins and energy metabolism) and beef quality.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 2%
Brazil 1 2%
United Kingdom 1 2%
Argentina 1 2%
United States 1 2%
Unknown 50 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 22%
Student > Ph. D. Student 9 16%
Professor > Associate Professor 5 9%
Student > Doctoral Student 3 5%
Student > Master 3 5%
Other 7 13%
Unknown 16 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 36%
Computer Science 4 7%
Biochemistry, Genetics and Molecular Biology 4 7%
Veterinary Science and Veterinary Medicine 3 5%
Medicine and Dentistry 3 5%
Other 2 4%
Unknown 19 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 23 December 2012.
All research outputs
#4,082,380
of 25,374,917 outputs
Outputs from BMC Veterinary Research
#276
of 3,298 outputs
Outputs of similar age
#28,293
of 186,055 outputs
Outputs of similar age from BMC Veterinary Research
#6
of 39 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,298 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 91% 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 186,055 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 84% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.