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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A methodological approach for deep learning to distinguish between meningiomas and gliomas on canine MR-images
|
|---|---|
| Published in |
BMC Veterinary Research, October 2018
|
| DOI | 10.1186/s12917-018-1638-2 |
| Pubmed ID | |
| Authors |
Tommaso Banzato, Marco Bernardini, Giunio B. Cherubini, Alessandro Zotti |
X Demographics
The data shown below were collected from the profiles of 7 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 Kingdom | 2 | 29% |
| Italy | 1 | 14% |
| United States | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 111 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 17 | 15% |
| Student > Master | 13 | 12% |
| Researcher | 11 | 10% |
| Student > Postgraduate | 10 | 9% |
| Student > Doctoral Student | 9 | 8% |
| Other | 28 | 25% |
| Unknown | 23 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Veterinary Science and Veterinary Medicine | 36 | 32% |
| Medicine and Dentistry | 14 | 13% |
| Agricultural and Biological Sciences | 8 | 7% |
| Engineering | 6 | 5% |
| Computer Science | 6 | 5% |
| Other | 10 | 9% |
| Unknown | 31 | 28% |
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 01 November 2018.
All research outputs
#8,016,236
of 24,244,537 outputs
Outputs from BMC Veterinary Research
#681
of 3,140 outputs
Outputs of similar age
#137,931
of 353,656 outputs
Outputs of similar age from BMC Veterinary Research
#20
of 91 outputs
Altmetric has tracked 24,244,537 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 3,140 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 78% 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 353,656 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 60% of its contemporaries.
We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.