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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Modeling host-microbiome interactions for the prediction of meat quality and carcass composition traits in swine
|
|---|---|
| Published in |
Genetics Selection Evolution, July 2020
|
| DOI | 10.1186/s12711-020-00561-7 |
| Pubmed ID | |
| Authors |
Piush Khanal, Christian Maltecca, Clint Schwab, Justin Fix, Matteo Bergamaschi, Francesco Tiezzi |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 18% |
| Professor | 2 | 9% |
| Student > Postgraduate | 2 | 9% |
| Student > Ph. D. Student | 1 | 5% |
| Student > Bachelor | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 10 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 32% |
| Biochemistry, Genetics and Molecular Biology | 3 | 14% |
| Veterinary Science and Veterinary Medicine | 1 | 5% |
| Nursing and Health Professions | 1 | 5% |
| Immunology and Microbiology | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 9 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 01 August 2020.
All research outputs
#4,622,688
of 25,387,668 outputs
Outputs from Genetics Selection Evolution
#99
of 821 outputs
Outputs of similar age
#109,408
of 427,202 outputs
Outputs of similar age from Genetics Selection Evolution
#4
of 18 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 81st 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 87% 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 427,202 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 74% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.