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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 (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

twitter
7 tweeters

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
14 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

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 21%
Researcher 1 7%
Lecturer 1 7%
Student > Bachelor 1 7%
Student > Doctoral Student 1 7%
Other 2 14%
Unknown 5 36%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 29%
Biochemistry, Genetics and Molecular Biology 3 21%
Veterinary Science and Veterinary Medicine 1 7%
Environmental Science 1 7%
Unknown 5 36%

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
#5,986,474
of 22,526,255 outputs
Outputs from Genetics Selection Evolution
#182
of 731 outputs
Outputs of similar age
#151,178
of 516,703 outputs
Outputs of similar age from Genetics Selection Evolution
#16
of 78 outputs
Altmetric has tracked 22,526,255 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 731 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 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 516,703 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 70% of its contemporaries.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.