↓ Skip to main content

A Deep Learning Approach to Video Fluoroscopic Swallowing Exam Classification

Overview of attention for article published in this source, April 2020
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
15 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
A Deep Learning Approach to Video Fluoroscopic Swallowing Exam Classification
Published by
Institute of Electrical and Electronics Engineers (IEEE), April 2020
DOI 10.1109/isbi45749.2020.9098510
Authors

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Professor 1 7%
Researcher 1 7%
Student > Postgraduate 1 7%
Student > Master 1 7%
Unknown 11 73%
Readers by discipline
Readers by discipline Count As %
Engineering 2 13%
Nursing and Health Professions 1 7%
Medicine and Dentistry 1 7%
Unknown 11 73%