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Detection of aspiration from images of a videofluoroscopic swallowing study adopting deep learning

Overview of attention for article published in Oral Radiology, February 2023
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Mentioned by

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1 X user

Citations

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4 Dimensions

Readers on

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13 Mendeley
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Title
Detection of aspiration from images of a videofluoroscopic swallowing study adopting deep learning
Published in
Oral Radiology, February 2023
DOI 10.1007/s11282-023-00669-8
Pubmed ID
Authors

Yukihiro Iida, Janne Näppi, Tomoya Kitano, Toru Hironaka, Akitoshi Katsumata, Hiroyuki Yoshida

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

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 15%
Student > Ph. D. Student 1 8%
Other 1 8%
Student > Master 1 8%
Unknown 8 62%
Readers by discipline Count As %
Unspecified 2 15%
Medicine and Dentistry 2 15%
Nursing and Health Professions 1 8%
Engineering 1 8%
Unknown 7 54%
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 13 February 2023.
All research outputs
#19,736,995
of 24,257,370 outputs
Outputs from Oral Radiology
#38
of 87 outputs
Outputs of similar age
#321,712
of 441,913 outputs
Outputs of similar age from Oral Radiology
#3
of 4 outputs
Altmetric has tracked 24,257,370 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 87 research outputs from this source. They receive a mean Attention Score of 1.3. This one is in the 41st percentile – i.e., 41% 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 441,913 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.