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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using machine learning to improve the accuracy of genomic prediction of reproduction traits in pigs
|
|---|---|
| Published in |
Journal of Animal Science and Biotechnology, May 2022
|
| DOI | 10.1186/s40104-022-00708-0 |
| Pubmed ID | |
| Authors |
Xue Wang, Shaolei Shi, Guijiang Wang, Wenxue Luo, Xia Wei, Ao Qiu, Fei Luo, Xiangdong Ding |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 67% |
| Tanzania, United Republic of | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 17% |
| Researcher | 4 | 14% |
| Professor > Associate Professor | 3 | 10% |
| Student > Doctoral Student | 3 | 10% |
| Student > Ph. D. Student | 2 | 7% |
| Other | 1 | 3% |
| Unknown | 11 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 24% |
| Veterinary Science and Veterinary Medicine | 3 | 10% |
| Biochemistry, Genetics and Molecular Biology | 3 | 10% |
| Social Sciences | 1 | 3% |
| Unknown | 15 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 11 July 2022.
All research outputs
#16,063,069
of 25,392,582 outputs
Outputs from Journal of Animal Science and Biotechnology
#307
of 906 outputs
Outputs of similar age
#228,791
of 444,352 outputs
Outputs of similar age from Journal of Animal Science and Biotechnology
#9
of 39 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 906 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 57% 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 444,352 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 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 64% of its contemporaries.