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Global assessment of genomic variation in cattle by genome resequencing and high-throughput genotyping

Overview of attention for article published in BMC Genomics, November 2011
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

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2 X users
wikipedia
1 Wikipedia page

Citations

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68 Dimensions

Readers on

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103 Mendeley
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Title
Global assessment of genomic variation in cattle by genome resequencing and high-throughput genotyping
Published in
BMC Genomics, November 2011
DOI 10.1186/1471-2164-12-557
Pubmed ID
Authors

Bujie Zhan, João Fadista, Bo Thomsen, Jakob Hedegaard, Frank Panitz, Christian Bendixen

Abstract

Integration of genomic variation with phenotypic information is an effective approach for uncovering genotype-phenotype associations. This requires an accurate identification of the different types of variation in individual genomes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 2%
France 2 2%
United States 2 2%
Uganda 1 <1%
India 1 <1%
Finland 1 <1%
Spain 1 <1%
Poland 1 <1%
Unknown 92 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 26%
Student > Ph. D. Student 26 25%
Student > Master 12 12%
Student > Bachelor 5 5%
Student > Postgraduate 5 5%
Other 18 17%
Unknown 10 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 67 65%
Biochemistry, Genetics and Molecular Biology 8 8%
Computer Science 3 3%
Medicine and Dentistry 3 3%
Veterinary Science and Veterinary Medicine 2 2%
Other 4 4%
Unknown 16 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 07 September 2012.
All research outputs
#6,106,412
of 22,656,971 outputs
Outputs from BMC Genomics
#2,611
of 10,607 outputs
Outputs of similar age
#37,454
of 141,521 outputs
Outputs of similar age from BMC Genomics
#23
of 126 outputs
Altmetric has tracked 22,656,971 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 10,607 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 74% 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 141,521 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 126 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.