You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Identification of the ABCC4, IER3, and CBFA2T2 candidate genes for resistance to paratuberculosis from sequence-based GWAS in Holstein and Normande dairy cattle
|
---|---|
Published in |
Genetics Selection Evolution, March 2020
|
DOI | 10.1186/s12711-020-00535-9 |
Pubmed ID | |
Authors |
Marie-Pierre Sanchez, Raphaël Guatteo, Aurore Davergne, Judikael Saout, Cécile Grohs, Marie-Christine Deloche, Sébastien Taussat, Sébastien Fritz, Mekki Boussaha, Philippe Blanquefort, Arnaud Delafosse, Alain Joly, Laurent Schibler, Christine Fourichon, Didier Boichard |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 4 | 33% |
United Kingdom | 2 | 17% |
Unknown | 6 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 11 | 92% |
Scientists | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 36 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 13 | 36% |
Student > Master | 5 | 14% |
Student > Ph. D. Student | 3 | 8% |
Other | 2 | 6% |
Lecturer | 2 | 6% |
Other | 8 | 22% |
Unknown | 3 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 12 | 33% |
Veterinary Science and Veterinary Medicine | 7 | 19% |
Biochemistry, Genetics and Molecular Biology | 4 | 11% |
Social Sciences | 3 | 8% |
Unspecified | 2 | 6% |
Other | 4 | 11% |
Unknown | 4 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 20 April 2020.
All research outputs
#4,356,758
of 25,387,668 outputs
Outputs from Genetics Selection Evolution
#92
of 821 outputs
Outputs of similar age
#95,363
of 404,770 outputs
Outputs of similar age from Genetics Selection Evolution
#7
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 82nd 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 well, scoring higher than 88% 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 404,770 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 76% 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 53% of its contemporaries.