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Runs of homozygosity in the Italian goat breeds: impact of management practices in low-input systems

Overview of attention for article published in Genetics Selection Evolution, December 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

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7 X users

Citations

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17 Dimensions

Readers on

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30 Mendeley
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Title
Runs of homozygosity in the Italian goat breeds: impact of management practices in low-input systems
Published in
Genetics Selection Evolution, December 2021
DOI 10.1186/s12711-021-00685-4
Pubmed ID
Authors

Matteo Cortellari, Arianna Bionda, Alessio Negro, Stefano Frattini, Salvatore Mastrangelo, Elisa Somenzi, Emiliano Lasagna, Francesca M. Sarti, Elena Ciani, Roberta Ciampolini, Donata Marletta, Luigi Liotta, Paolo Ajmone Marsan, Fabio Pilla, Licia Colli, Andrea Talenti, Paola Crepaldi

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 13%
Student > Doctoral Student 3 10%
Student > Postgraduate 3 10%
Student > Master 3 10%
Student > Ph. D. Student 2 7%
Other 3 10%
Unknown 12 40%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 30%
Veterinary Science and Veterinary Medicine 4 13%
Biochemistry, Genetics and Molecular Biology 2 7%
Environmental Science 1 3%
Social Sciences 1 3%
Other 1 3%
Unknown 12 40%
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 05 March 2022.
All research outputs
#7,269,566
of 25,392,582 outputs
Outputs from Genetics Selection Evolution
#236
of 820 outputs
Outputs of similar age
#153,009
of 514,093 outputs
Outputs of similar age from Genetics Selection Evolution
#4
of 17 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 820 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 70% 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 514,093 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 69% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.