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A methodological approach for deep learning to distinguish between meningiomas and gliomas on canine MR-images

Overview of attention for article published in BMC Veterinary Research, October 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
7 tweeters

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
67 Mendeley
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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
Authors

Tommaso Banzato, Marco Bernardini, Giunio B. Cherubini, Alessandro Zotti

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 67 100%

Demographic breakdown

Readers by professional status Count As %
Other 16 24%
Student > Master 10 15%
Student > Postgraduate 8 12%
Researcher 7 10%
Student > Bachelor 5 7%
Other 14 21%
Unknown 7 10%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 27 40%
Medicine and Dentistry 11 16%
Agricultural and Biological Sciences 7 10%
Computer Science 3 4%
Economics, Econometrics and Finance 2 3%
Other 4 6%
Unknown 13 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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
#7,464,425
of 14,453,117 outputs
Outputs from BMC Veterinary Research
#508
of 2,150 outputs
Outputs of similar age
#139,878
of 320,531 outputs
Outputs of similar age from BMC Veterinary Research
#62
of 336 outputs
Altmetric has tracked 14,453,117 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,150 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done well, scoring higher than 75% 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 320,531 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 336 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.