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Histopathological Classification of Canine Cutaneous Round Cell Tumors Using Deep Learning: A Multi-Center Study

Overview of attention for article published in Frontiers in Veterinary Science, March 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

twitter
9 X users

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
37 Mendeley
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Title
Histopathological Classification of Canine Cutaneous Round Cell Tumors Using Deep Learning: A Multi-Center Study
Published in
Frontiers in Veterinary Science, March 2021
DOI 10.3389/fvets.2021.640944
Pubmed ID
Authors

Massimo Salvi, Filippo Molinari, Selina Iussich, Luisa Vera Muscatello, Luca Pazzini, Silvia Benali, Barbara Banco, Francesca Abramo, Raffaella De Maria, Luca Aresu

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 14%
Other 4 11%
Student > Bachelor 4 11%
Student > Master 4 11%
Professor 2 5%
Other 6 16%
Unknown 12 32%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 11 30%
Engineering 4 11%
Medicine and Dentistry 3 8%
Computer Science 3 8%
Unspecified 1 3%
Other 2 5%
Unknown 13 35%
Attention Score in Context

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 07 May 2021.
All research outputs
#7,332,368
of 23,295,606 outputs
Outputs from Frontiers in Veterinary Science
#1,317
of 6,512 outputs
Outputs of similar age
#161,177
of 429,894 outputs
Outputs of similar age from Frontiers in Veterinary Science
#92
of 368 outputs
Altmetric has tracked 23,295,606 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 6,512 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done well, scoring higher than 79% 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 429,894 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 61% of its contemporaries.
We're also able to compare this research output to 368 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 74% of its contemporaries.