| Title |
The use of the SLC16A1 gene as a potential marker to predict race performance in Arabian horses
|
|---|---|
| Published in |
BMC Genomic Data, September 2019
|
| DOI | 10.1186/s12863-019-0774-4 |
| Pubmed ID | |
| Authors |
Katarzyna Ropka-Molik, Monika Stefaniuk-Szmukier, Tomasz Szmatoła, Katarzyna Piórkowska, Monika Bugno-Poniewierska |
X Demographics
The data shown below were collected from the profiles of 5 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 States | 2 | 40% |
| Poland | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 24% |
| Student > Bachelor | 4 | 12% |
| Student > Ph. D. Student | 4 | 12% |
| Professor > Associate Professor | 2 | 6% |
| Professor | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 12 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 24% |
| Medicine and Dentistry | 3 | 9% |
| Sports and Recreations | 3 | 9% |
| Veterinary Science and Veterinary Medicine | 2 | 6% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 13 | 39% |
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 25 September 2019.
All research outputs
#15,179,141
of 25,385,509 outputs
Outputs from BMC Genomic Data
#480
of 1,204 outputs
Outputs of similar age
#183,045
of 351,348 outputs
Outputs of similar age from BMC Genomic Data
#4
of 12 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 58% 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 351,348 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 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 66% of its contemporaries.