The data shown below were collected from the profiles of 91 X users who shared this research output. Click here to find out more about how the information was compiled.
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| Title |
Genetic testing of dogs predicts problem behaviors in clinical and nonclinical samples
|
|---|---|
| Published in |
BMC Genomics, February 2022
|
| DOI | 10.1186/s12864-022-08351-9 |
| Pubmed ID | |
| Authors |
Isain Zapata, M. Leanne Lilly, Meghan E. Herron, James A. Serpell, Carlos E. Alvarez |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 13 | 14% |
| United Kingdom | 4 | 4% |
| Brazil | 2 | 2% |
| Comoros | 1 | 1% |
| Canada | 1 | 1% |
| Mexico | 1 | 1% |
| Spain | 1 | 1% |
| Montenegro | 1 | 1% |
| North Macedonia | 1 | 1% |
| Other | 6 | 7% |
| Unknown | 60 | 66% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 81 | 89% |
| Scientists | 5 | 5% |
| Practitioners (doctors, other healthcare professionals) | 3 | 3% |
| Science communicators (journalists, bloggers, editors) | 2 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 80 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 12 | 15% |
| Researcher | 11 | 14% |
| Other | 7 | 9% |
| Student > Ph. D. Student | 6 | 8% |
| Student > Master | 6 | 8% |
| Other | 5 | 6% |
| Unknown | 33 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Veterinary Science and Veterinary Medicine | 20 | 25% |
| Agricultural and Biological Sciences | 12 | 15% |
| Biochemistry, Genetics and Molecular Biology | 7 | 9% |
| Business, Management and Accounting | 2 | 3% |
| Environmental Science | 1 | 1% |
| Other | 6 | 8% |
| Unknown | 32 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 107. 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 October 2024.
All research outputs
#427,257
of 26,756,610 outputs
Outputs from BMC Genomics
#32
of 11,459 outputs
Outputs of similar age
#11,655
of 537,392 outputs
Outputs of similar age from BMC Genomics
#2
of 191 outputs
Altmetric has tracked 26,756,610 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,459 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 99% 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 537,392 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 191 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.