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Whole transcriptome analyses of six thoroughbred horses before and after exercise using RNA-Seq

Overview of attention for article published in BMC Genomics, September 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 (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

twitter
6 X users
patent
1 patent

Citations

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69 Dimensions

Readers on

mendeley
82 Mendeley
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2 CiteULike
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Title
Whole transcriptome analyses of six thoroughbred horses before and after exercise using RNA-Seq
Published in
BMC Genomics, September 2012
DOI 10.1186/1471-2164-13-473
Pubmed ID
Authors

Kyung-Do Park, Jongsun Park, Junsu Ko, Byung Chul Kim, Heui-Soo Kim, Kung Ahn, Kyoung-Tag Do, Hansol Choi, Hak-Min Kim, Sanghoon Song, Sunghoon Lee, Sungwoong Jho, Hong-Sik Kong, Young Mok Yang, Byung-Hak Jhun, Chulhong Kim, Tae-Hyung Kim, Seungwoo Hwang, Jong Bhak, Hak-Kyo Lee, Byung-Wook Cho

Abstract

Thoroughbred horses are the most expensive domestic animals, and their running ability and knowledge about their muscle-related diseases are important in animal genetics. While the horse reference genome is available, there has been no large-scale functional annotation of the genome using expressed genes derived from transcriptomes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
Ireland 1 1%
Australia 1 1%
Finland 1 1%
Brazil 1 1%
Spain 1 1%
India 1 1%
Unknown 73 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 32%
Student > Ph. D. Student 12 15%
Student > Master 7 9%
Student > Postgraduate 6 7%
Student > Doctoral Student 4 5%
Other 13 16%
Unknown 14 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 48%
Biochemistry, Genetics and Molecular Biology 10 12%
Veterinary Science and Veterinary Medicine 8 10%
Medicine and Dentistry 6 7%
Unspecified 1 1%
Other 4 5%
Unknown 14 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 12 January 2023.
All research outputs
#5,161,508
of 25,152,132 outputs
Outputs from BMC Genomics
#2,005
of 11,173 outputs
Outputs of similar age
#34,406
of 176,005 outputs
Outputs of similar age from BMC Genomics
#23
of 117 outputs
Altmetric has tracked 25,152,132 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,173 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 81% 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 176,005 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 80% of its contemporaries.
We're also able to compare this research output to 117 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.