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A mucosal recovery software tool for endoscopic submucosal dissection in early gastric cancer

Overview of attention for article published in Frontiers in Medicine, December 2022
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1 X user

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12 Mendeley
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Title
A mucosal recovery software tool for endoscopic submucosal dissection in early gastric cancer
Published in
Frontiers in Medicine, December 2022
DOI 10.3389/fmed.2022.1001383
Pubmed ID
Authors

Yinuo Zhao, Huogen Wang, Yanyan Fan, Chaohui Jin, Qinwei Xu, Jiyong Jing, Tianqiao Zhang, Xuedong Zhang, Wanyuan Chen

Timeline

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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.
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Mendeley readers

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 %
Student > Bachelor 3 25%
Other 1 8%
Lecturer 1 8%
Student > Doctoral Student 1 8%
Researcher 1 8%
Other 1 8%
Unknown 4 33%
Readers by discipline Count As %
Economics, Econometrics and Finance 3 25%
Nursing and Health Professions 2 17%
Biochemistry, Genetics and Molecular Biology 1 8%
Computer Science 1 8%
Medicine and Dentistry 1 8%
Other 0 0%
Unknown 4 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 26 December 2022.
All research outputs
#21,445,966
of 23,940,793 outputs
Outputs from Frontiers in Medicine
#5,563
of 6,336 outputs
Outputs of similar age
#372,314
of 447,020 outputs
Outputs of similar age from Frontiers in Medicine
#384
of 462 outputs
Altmetric has tracked 23,940,793 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,336 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 1st percentile – i.e., 1% 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 447,020 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 462 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.