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Identification of Barrett's esophagus in endoscopic images using deep learning

Overview of attention for article published in BMC Gastroenterology, December 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
14 Mendeley
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Title
Identification of Barrett's esophagus in endoscopic images using deep learning
Published in
BMC Gastroenterology, December 2021
DOI 10.1186/s12876-021-02055-2
Pubmed ID
Authors

Wen Pan, Xujia Li, Weijia Wang, Linjing Zhou, Jiali Wu, Tao Ren, Chao Liu, Muhan Lv, Song Su, Yong Tang

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 14%
Student > Bachelor 1 7%
Lecturer 1 7%
Student > Ph. D. Student 1 7%
Researcher 1 7%
Other 0 0%
Unknown 8 57%
Readers by discipline Count As %
Nursing and Health Professions 1 7%
Computer Science 1 7%
Physics and Astronomy 1 7%
Medicine and Dentistry 1 7%
Engineering 1 7%
Other 0 0%
Unknown 9 64%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 October 2023.
All research outputs
#7,965,603
of 24,657,405 outputs
Outputs from BMC Gastroenterology
#519
of 1,921 outputs
Outputs of similar age
#160,102
of 481,956 outputs
Outputs of similar age from BMC Gastroenterology
#14
of 70 outputs
Altmetric has tracked 24,657,405 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,921 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one has gotten more attention than average, scoring higher than 71% 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 481,956 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 66% of its contemporaries.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.