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Deep Deterministic Learning for Pattern Recognition of Different Cardiac Diseases through the Internet of Medical Things

Overview of attention for article published in Journal of Medical Systems, November 2018
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Mentioned by

twitter
2 X users

Citations

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18 Dimensions

Readers on

mendeley
68 Mendeley
Title
Deep Deterministic Learning for Pattern Recognition of Different Cardiac Diseases through the Internet of Medical Things
Published in
Journal of Medical Systems, November 2018
DOI 10.1007/s10916-018-1107-2
Pubmed ID
Authors

Uzair Iqbal, Teh Ying Wah, Muhammad Habib ur Rehman, Ghulam Mujtaba, Muhammad Imran, Muhammad Shoaib

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 68 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 15%
Student > Master 8 12%
Student > Ph. D. Student 7 10%
Researcher 5 7%
Lecturer 2 3%
Other 10 15%
Unknown 26 38%
Readers by discipline Count As %
Computer Science 10 15%
Engineering 8 12%
Medicine and Dentistry 7 10%
Nursing and Health Professions 3 4%
Business, Management and Accounting 2 3%
Other 9 13%
Unknown 29 43%
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 07 November 2018.
All research outputs
#18,655,700
of 23,112,054 outputs
Outputs from Journal of Medical Systems
#823
of 1,165 outputs
Outputs of similar age
#269,815
of 352,086 outputs
Outputs of similar age from Journal of Medical Systems
#15
of 29 outputs
Altmetric has tracked 23,112,054 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,165 research outputs from this source. They receive a mean Attention Score of 4.5. 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 352,086 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.