↓ Skip to main content

Thermal Image Scanning for the Early Detection of Fever Induced by Highly Pathogenic Avian Influenza Virus Infection in Chickens and Ducks and Its Application in Farms

Overview of attention for article published in Frontiers in Veterinary Science, May 2021
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
27 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Thermal Image Scanning for the Early Detection of Fever Induced by Highly Pathogenic Avian Influenza Virus Infection in Chickens and Ducks and Its Application in Farms
Published in
Frontiers in Veterinary Science, May 2021
DOI 10.3389/fvets.2021.616755
Pubmed ID
Authors

Jin-Yong Noh, Kyu-Jik Kim, Sun-Hak Lee, Jun-Beom Kim, Deok-Hwan Kim, Sungsu Youk, Chang-Seon Song, Sang-Soep Nahm

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 19%
Student > Bachelor 2 7%
Student > Master 2 7%
Other 1 4%
Professor 1 4%
Other 0 0%
Unknown 16 59%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 4 15%
Agricultural and Biological Sciences 3 11%
Environmental Science 1 4%
Computer Science 1 4%
Engineering 1 4%
Other 0 0%
Unknown 17 63%
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 12 July 2024.
All research outputs
#17,498,364
of 26,451,700 outputs
Outputs from Frontiers in Veterinary Science
#3,806
of 8,531 outputs
Outputs of similar age
#271,591
of 465,149 outputs
Outputs of similar age from Frontiers in Veterinary Science
#190
of 458 outputs
Altmetric has tracked 26,451,700 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,531 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 49th percentile – i.e., 49% 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 465,149 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 458 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 52% of its contemporaries.