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Insight into the genetic composition of South African Sanga cattle using SNP data from cattle breeds worldwide

Overview of attention for article published in Genetics Selection Evolution, November 2016
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
51 Mendeley
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Title
Insight into the genetic composition of South African Sanga cattle using SNP data from cattle breeds worldwide
Published in
Genetics Selection Evolution, November 2016
DOI 10.1186/s12711-016-0266-1
Pubmed ID
Authors

Sithembile O. Makina, Lindsey K. Whitacre, Jared E. Decker, Jeremy F. Taylor, Michael D. MacNeil, Michiel M. Scholtz, Este van Marle-Köster, Farai C. Muchadeyi, Mahlako L. Makgahlela, Azwihangwisi Maiwashe

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 12%
Student > Master 6 12%
Student > Bachelor 5 10%
Student > Doctoral Student 4 8%
Researcher 3 6%
Other 8 16%
Unknown 19 37%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 49%
Biochemistry, Genetics and Molecular Biology 5 10%
Veterinary Science and Veterinary Medicine 1 2%
Arts and Humanities 1 2%
Computer Science 1 2%
Other 1 2%
Unknown 17 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 11 December 2020.
All research outputs
#8,535,684
of 25,374,917 outputs
Outputs from Genetics Selection Evolution
#303
of 822 outputs
Outputs of similar age
#116,223
of 311,953 outputs
Outputs of similar age from Genetics Selection Evolution
#2
of 7 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 822 research outputs from this source. They receive a mean Attention Score of 4.1. This one has gotten more attention than average, scoring higher than 53% 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 311,953 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.