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Predicting Diagnosis of Australian Canine and Feline Urinary Bladder Disease Based on Histologic Features

Overview of attention for article published in Veterinary Sciences, November 2020
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1 X user

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24 Mendeley
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Article details
Title
Predicting Diagnosis of Australian Canine and Feline Urinary Bladder Disease Based on Histologic Features
Published in
Veterinary Sciences, November 2020
DOI 10.3390/vetsci7040190
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Doctoral Student 2 8%
Other 1 4%
Lecturer 1 4%
Professor > Associate Professor 1 4%
Student > Postgraduate 1 4%
Other 0 0%
Unknown 18 75%
Readers by discipline
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 3 13%
Agricultural and Biological Sciences 2 8%
Computer Science 1 4%
Unknown 18 75%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 31 December 2020.
All research outputs
#20,676,689
of 23,271,751 outputs
Outputs from Veterinary Sciences
#947
of 1,187 outputs
Outputs of similar age
#433,651
of 509,431 outputs
Outputs of similar age from Veterinary Sciences
#30
of 43 outputs
Altmetric has tracked 23,271,751 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,187 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 509,431 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.