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Cloud-Assisted Speech and Face Recognition Framework for Health Monitoring

Overview of attention for article published in Mobile Networks and Applications, February 2015
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user

Citations

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99 Dimensions

Readers on

mendeley
73 Mendeley
Title
Cloud-Assisted Speech and Face Recognition Framework for Health Monitoring
Published in
Mobile Networks and Applications, February 2015
DOI 10.1007/s11036-015-0586-3
Authors

M. Shamim Hossain, Ghulam Muhammad

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

Geographical breakdown

Country Count As %
Unknown 73 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 22%
Student > Ph. D. Student 11 15%
Researcher 6 8%
Student > Doctoral Student 6 8%
Professor 5 7%
Other 18 25%
Unknown 11 15%
Readers by discipline Count As %
Computer Science 31 42%
Engineering 12 16%
Medicine and Dentistry 5 7%
Nursing and Health Professions 2 3%
Business, Management and Accounting 2 3%
Other 5 7%
Unknown 16 22%
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 21 July 2015.
All research outputs
#15,340,005
of 22,817,213 outputs
Outputs from Mobile Networks and Applications
#261
of 326 outputs
Outputs of similar age
#151,035
of 255,189 outputs
Outputs of similar age from Mobile Networks and Applications
#7
of 9 outputs
Altmetric has tracked 22,817,213 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 326 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 12th percentile – i.e., 12% 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 255,189 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.