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An improved deep learning approach and its applications on colonic polyp images detection

Overview of attention for article published in BMC Medical Imaging, July 2020
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Mentioned by

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1 X user

Citations

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58 Dimensions

Readers on

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77 Mendeley
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Title
An improved deep learning approach and its applications on colonic polyp images detection
Published in
BMC Medical Imaging, July 2020
DOI 10.1186/s12880-020-00482-3
Pubmed ID
Authors

Wei Wang, Jinge Tian, Chengwen Zhang, Yanhong Luo, Xin Wang, Ji Li

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 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 77 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 14%
Student > Ph. D. Student 7 9%
Researcher 5 6%
Student > Doctoral Student 5 6%
Student > Postgraduate 4 5%
Other 12 16%
Unknown 33 43%
Readers by discipline Count As %
Computer Science 19 25%
Engineering 8 10%
Medicine and Dentistry 8 10%
Chemistry 2 3%
Nursing and Health Professions 2 3%
Other 3 4%
Unknown 35 45%
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 23 July 2020.
All research outputs
#20,631,102
of 23,223,705 outputs
Outputs from BMC Medical Imaging
#459
of 612 outputs
Outputs of similar age
#342,265
of 399,845 outputs
Outputs of similar age from BMC Medical Imaging
#15
of 20 outputs
Altmetric has tracked 23,223,705 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 612 research outputs from this source. They receive a mean Attention Score of 2.1. 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 399,845 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 20 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.