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Development and internal validation of diagnostic prediction models using machine-learning algorithms in dogs with hypothyroidism

Overview of attention for article published in Frontiers in Veterinary Science, December 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
3 X users

Readers on

mendeley
6 Mendeley
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Title
Development and internal validation of diagnostic prediction models using machine-learning algorithms in dogs with hypothyroidism
Published in
Frontiers in Veterinary Science, December 2023
DOI 10.3389/fvets.2023.1292988
Pubmed ID
Authors

Andrea Corsini, Francesco Lunetta, Fabrizio Alboni, Ignazio Drudi, Eugenio Faroni, Federico Fracassi

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 33%
Researcher 2 33%
Other 1 17%
Unknown 1 17%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 4 67%
Unknown 2 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 04 January 2024.
All research outputs
#16,223,277
of 25,634,695 outputs
Outputs from Frontiers in Veterinary Science
#2,897
of 8,210 outputs
Outputs of similar age
#161,552
of 352,486 outputs
Outputs of similar age from Frontiers in Veterinary Science
#79
of 392 outputs
Altmetric has tracked 25,634,695 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,210 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has gotten more attention than average, scoring higher than 59% 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 352,486 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 51% of its contemporaries.
We're also able to compare this research output to 392 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.