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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evaluation of the VETSCAN IMAGYST: an in-clinic canine and feline fecal parasite detection system integrated with a deep learning algorithm
|
|---|---|
| Published in |
Parasites & Vectors, July 2020
|
| DOI | 10.1186/s13071-020-04215-x |
| Pubmed ID | |
| Authors |
Yoko Nagamori, Ruth Hall Sedlak, Andrew DeRosa, Aleah Pullins, Travis Cree, Michael Loenser, Benjamin S. Larson, Richard Boyd Smith, Richard Goldstein |
X Demographics
The data shown below were collected from the profiles of 8 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 | 1 | 13% |
| Canada | 1 | 13% |
| Unknown | 6 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Science communicators (journalists, bloggers, editors) | 2 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 7 | 16% |
| Researcher | 6 | 13% |
| Student > Master | 4 | 9% |
| Student > Doctoral Student | 2 | 4% |
| Student > Bachelor | 2 | 4% |
| Other | 9 | 20% |
| Unknown | 15 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Veterinary Science and Veterinary Medicine | 13 | 29% |
| Agricultural and Biological Sciences | 4 | 9% |
| Environmental Science | 2 | 4% |
| Nursing and Health Professions | 2 | 4% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Other | 4 | 9% |
| Unknown | 18 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 19 November 2020.
All research outputs
#7,153,190
of 24,833,726 outputs
Outputs from Parasites & Vectors
#1,622
of 5,843 outputs
Outputs of similar age
#145,518
of 402,890 outputs
Outputs of similar age from Parasites & Vectors
#45
of 141 outputs
Altmetric has tracked 24,833,726 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 5,843 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has gotten more attention than average, scoring higher than 71% 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 402,890 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 63% of its contemporaries.
We're also able to compare this research output to 141 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 68% of its contemporaries.