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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine learning algorithms predict canine structural epilepsy with high accuracy
|
|---|---|
| Published in |
Frontiers in Veterinary Science, July 2024
|
| DOI | 10.3389/fvets.2024.1406107 |
| Pubmed ID | |
| Authors |
Thomas Flegel, Anja Neumann, Anna-Lena Holst, Olivia Kretzschmann, Shenja Loderstedt, Carina Tästensen, Sarah Gutmann, Josephine Dietzel, Lisa Franziska Becker, Theresa Kalliwoda, Vivian Weiß, Madlene Kowarik, Irene Christine Böttcher, Christian Martin |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 2 | 40% |
| Unspecified | 1 | 20% |
| Lecturer | 1 | 20% |
| Student > Master | 1 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 40% |
| Veterinary Science and Veterinary Medicine | 1 | 20% |
| Business, Management and Accounting | 1 | 20% |
| Unspecified | 1 | 20% |
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 08 August 2024.
All research outputs
#16,786,118
of 26,438,498 outputs
Outputs from Frontiers in Veterinary Science
#3,171
of 8,521 outputs
Outputs of similar age
#78,257
of 188,021 outputs
Outputs of similar age from Frontiers in Veterinary Science
#30
of 180 outputs
Altmetric has tracked 26,438,498 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 8,521 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 55% 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 188,021 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 180 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.