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| Title |
An artificial intelligence approach to predicting personality types in dogs
|
|---|---|
| Published in |
Scientific Reports, January 2024
|
| DOI | 10.1038/s41598-024-52920-9 |
| Pubmed ID | |
| Authors |
Mohammad Hossein Amirhosseini, Vinaykumar Yadav, James A. Serpell, Piya Pettigrew, Paris Kain |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 25% |
| Unknown | 6 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 2 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 15% |
| Unspecified | 2 | 7% |
| Student > Postgraduate | 2 | 7% |
| Other | 1 | 4% |
| Student > Ph. D. Student | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 14 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 15% |
| Agricultural and Biological Sciences | 3 | 11% |
| Social Sciences | 2 | 7% |
| Unspecified | 2 | 7% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 13 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 135. 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 06 March 2024.
All research outputs
#307,703
of 25,425,223 outputs
Outputs from Scientific Reports
#3,527
of 141,026 outputs
Outputs of similar age
#3,323
of 281,620 outputs
Outputs of similar age from Scientific Reports
#53
of 2,889 outputs
Altmetric has tracked 25,425,223 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 141,026 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.7. This one has done particularly well, scoring higher than 97% 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 281,620 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 98% of its contemporaries.
We're also able to compare this research output to 2,889 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.