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X Demographics
Mendeley readers
Attention Score in Context
Title |
Deep-Learning-Based Automatic Segmentation of Head and Neck Organs for Radiation Therapy in Dogs
|
---|---|
Published in |
Frontiers in Veterinary Science, September 2021
|
DOI | 10.3389/fvets.2021.721612 |
Pubmed ID | |
Authors |
Jeongsu Park, Byoungsu Choi, Jaeeun Ko, Jaehee Chun, Inkyung Park, Juyoung Lee, Jayon Kim, Jaehwan Kim, Kidong Eom, Jin Sung Kim |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 11% |
Switzerland | 1 | 11% |
Unknown | 7 | 78% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 67% |
Scientists | 2 | 22% |
Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 2 | 17% |
Researcher | 2 | 17% |
Student > Bachelor | 1 | 8% |
Unknown | 7 | 58% |
Readers by discipline | Count | As % |
---|---|---|
Veterinary Science and Veterinary Medicine | 5 | 42% |
Social Sciences | 1 | 8% |
Unknown | 6 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 03 April 2024.
All research outputs
#5,052,904
of 26,220,821 outputs
Outputs from Frontiers in Veterinary Science
#969
of 8,360 outputs
Outputs of similar age
#104,351
of 437,994 outputs
Outputs of similar age from Frontiers in Veterinary Science
#38
of 410 outputs
Altmetric has tracked 26,220,821 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,360 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one has done well, scoring higher than 88% 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 437,994 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 410 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.