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On the origin of European sheep as revealed by the diversity of the Balkan breeds and by optimizing population-genetic analysis tools

Overview of attention for article published in Genetics Selection Evolution, May 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

policy
1 policy source
twitter
9 X users

Citations

dimensions_citation
62 Dimensions

Readers on

mendeley
62 Mendeley
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Title
On the origin of European sheep as revealed by the diversity of the Balkan breeds and by optimizing population-genetic analysis tools
Published in
Genetics Selection Evolution, May 2020
DOI 10.1186/s12711-020-00545-7
Pubmed ID
Authors

Elena Ciani, Salvatore Mastrangelo, Anne Da Silva, Fabio Marroni, Maja Ferenčaković, Paolo Ajmone-Marsan, Hayley Baird, Mario Barbato, Licia Colli, Chiara Delvento, Toni Dovenski, Gregor Gorjanc, Stephen J. G. Hall, Anila Hoda, Meng-Hua Li, Božidarka Marković, John McEwan, Mohammad H. Moradi, Otsanda Ruiz-Larrañaga, Dragana Ružić-Muslić, Dragica Šalamon, Mojca Simčič, Ondrej Stepanek, Ino Curik, Vlatka Cubric-Curik, Johannes A. Lenstra

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 16%
Researcher 7 11%
Student > Bachelor 6 10%
Student > Master 4 6%
Student > Postgraduate 3 5%
Other 11 18%
Unknown 21 34%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 35%
Biochemistry, Genetics and Molecular Biology 8 13%
Social Sciences 2 3%
Arts and Humanities 1 2%
Veterinary Science and Veterinary Medicine 1 2%
Other 3 5%
Unknown 25 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 02 August 2023.
All research outputs
#3,691,436
of 25,387,668 outputs
Outputs from Genetics Selection Evolution
#75
of 821 outputs
Outputs of similar age
#94,352
of 421,059 outputs
Outputs of similar age from Genetics Selection Evolution
#4
of 15 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 821 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 90% 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 421,059 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 77% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.