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Text mining for disease surveillance in veterinary clinical data: part one, the language of veterinary clinical records and searching for words

Overview of attention for article published in Frontiers in Veterinary Science, January 2024
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

twitter
4 X users

Readers on

mendeley
7 Mendeley
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Title
Text mining for disease surveillance in veterinary clinical data: part one, the language of veterinary clinical records and searching for words
Published in
Frontiers in Veterinary Science, January 2024
DOI 10.3389/fvets.2024.1352239
Pubmed ID
Authors

Heather Davies, Goran Nenadic, Ghada Alfattni, Mercedes Arguello Casteleiro, Noura Al Moubayed, Sean O. Farrell, Alan D. Radford, Peter-John M. Noble

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Other 1 14%
Lecturer > Senior Lecturer 1 14%
Student > Master 1 14%
Unknown 2 29%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 4 57%
Biochemistry, Genetics and Molecular Biology 1 14%
Unknown 2 29%
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 31 January 2024.
All research outputs
#15,753,582
of 25,397,764 outputs
Outputs from Frontiers in Veterinary Science
#2,588
of 8,102 outputs
Outputs of similar age
#122,073
of 287,309 outputs
Outputs of similar age from Frontiers in Veterinary Science
#58
of 358 outputs
Altmetric has tracked 25,397,764 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,102 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has gotten more attention than average, scoring higher than 65% 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 287,309 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 56% of its contemporaries.
We're also able to compare this research output to 358 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.