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Design and development of exome capture sequencing for the domestic pig (Sus scrofa)

Overview of attention for article published in BMC Genomics, July 2014
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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

blogs
1 blog
twitter
8 X users

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
55 Mendeley
citeulike
1 CiteULike
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Title
Design and development of exome capture sequencing for the domestic pig (Sus scrofa)
Published in
BMC Genomics, July 2014
DOI 10.1186/1471-2164-15-550
Pubmed ID
Authors

Christelle Robert, Pablo Fuentes-Utrilla, Karen Troup, Julia Loecherbach, Frances Turner, Richard Talbot, Alan L Archibald, Alan Mileham, Nader Deeb, David A Hume, Mick Watson

Abstract

The domestic pig (Sus scrofa) is both an important livestock species and a model for biomedical research. Exome sequencing has accelerated identification of protein-coding variants underlying phenotypic traits in human and mouse. We aimed to develop and validate a similar resource for the pig.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 %
United States 3 5%
United Kingdom 2 4%
Denmark 1 2%
Russia 1 2%
China 1 2%
Unknown 47 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 29%
Student > Ph. D. Student 10 18%
Student > Master 6 11%
Student > Postgraduate 4 7%
Student > Bachelor 3 5%
Other 9 16%
Unknown 7 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 45%
Biochemistry, Genetics and Molecular Biology 13 24%
Medicine and Dentistry 4 7%
Mathematics 1 2%
Computer Science 1 2%
Other 1 2%
Unknown 10 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 June 2018.
All research outputs
#2,361,576
of 22,758,248 outputs
Outputs from BMC Genomics
#739
of 10,637 outputs
Outputs of similar age
#25,029
of 227,671 outputs
Outputs of similar age from BMC Genomics
#12
of 197 outputs
Altmetric has tracked 22,758,248 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,637 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 93% 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 227,671 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 197 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.