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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using imputed whole-genome sequence data to improve the accuracy of genomic prediction for parasite resistance in Australian sheep
|
|---|---|
| Published in |
Genetics Selection Evolution, June 2019
|
| DOI | 10.1186/s12711-019-0476-4 |
| Pubmed ID | |
| Authors |
Mohammad Al Kalaldeh, John Gibson, Naomi Duijvesteijn, Hans D. Daetwyler, Iona MacLeod, Nasir Moghaddar, Sang Hong Lee, Julius H. J. van der Werf |
X Demographics
The data shown below were collected from the profiles of 4 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 | 50% |
| Argentina | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 17% |
| Researcher | 7 | 12% |
| Student > Postgraduate | 7 | 12% |
| Other | 5 | 9% |
| Student > Master | 5 | 9% |
| Other | 9 | 16% |
| Unknown | 15 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 31% |
| Biochemistry, Genetics and Molecular Biology | 7 | 12% |
| Veterinary Science and Veterinary Medicine | 6 | 10% |
| Social Sciences | 2 | 3% |
| Medicine and Dentistry | 2 | 3% |
| Other | 5 | 9% |
| Unknown | 18 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 29 June 2019.
All research outputs
#15,100,333
of 25,385,509 outputs
Outputs from Genetics Selection Evolution
#438
of 821 outputs
Outputs of similar age
#188,501
of 365,944 outputs
Outputs of similar age from Genetics Selection Evolution
#13
of 20 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 821 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
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 365,944 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.