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Characterization of a novel chicken muscle disorder through differential gene expression and pathway analysis using RNA-sequencing

Overview of attention for article published in BMC Genomics, May 2015
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
2 news outlets
twitter
3 X users
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
216 Dimensions

Readers on

mendeley
213 Mendeley
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Title
Characterization of a novel chicken muscle disorder through differential gene expression and pathway analysis using RNA-sequencing
Published in
BMC Genomics, May 2015
DOI 10.1186/s12864-015-1623-0
Pubmed ID
Authors

Marie F Mutryn, Erin M Brannick, Weixuan Fu, William R Lee, Behnam Abasht

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 213 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 <1%
Unknown 212 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 40 19%
Student > Ph. D. Student 38 18%
Student > Bachelor 24 11%
Researcher 22 10%
Student > Doctoral Student 10 5%
Other 27 13%
Unknown 52 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 89 42%
Veterinary Science and Veterinary Medicine 27 13%
Biochemistry, Genetics and Molecular Biology 19 9%
Engineering 6 3%
Medicine and Dentistry 6 3%
Other 10 5%
Unknown 56 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 19 August 2016.
All research outputs
#2,291,250
of 25,837,817 outputs
Outputs from BMC Genomics
#580
of 11,367 outputs
Outputs of similar age
#28,408
of 282,313 outputs
Outputs of similar age from BMC Genomics
#17
of 251 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,367 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 94% 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 282,313 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 89% of its contemporaries.
We're also able to compare this research output to 251 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 93% of its contemporaries.