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Medical cyber-physical systems: A survey

Overview of attention for article published in Journal of Medical Systems, March 2018
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  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

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3 X users

Citations

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161 Dimensions

Readers on

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286 Mendeley
Title
Medical cyber-physical systems: A survey
Published in
Journal of Medical Systems, March 2018
DOI 10.1007/s10916-018-0921-x
Pubmed ID
Authors

Nilanjan Dey, Amira S. Ashour, Fuqian Shi, Simon James Fong, João Manuel R. S. Tavares

Abstract

Medical cyber-physical systems (MCPS) are healthcare critical integration of a network of medical devices. These systems are progressively used in hospitals to achieve a continuous high-quality healthcare. The MCPS design faces numerous challenges, including inoperability, security/privacy, and high assurance in the system software. In the current work, the infrastructure of the cyber-physical systems (CPS) are reviewed and discussed. This article enriched the researches of the networked Medical Device (MD) systems to increase the efficiency and safety of the healthcare. It also can assist the specialists of medical device to overcome crucial issues related to medical devices, and the challenges facing the design of the medical device's network. The concept of the social networking and its security along with the concept of the wireless sensor networks (WSNs) are addressed. Afterward, the CPS systems and platforms have been established, where more focus was directed toward CPS-based healthcare. The big data framework of CPSs is also included.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 286 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 286 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 40 14%
Student > Ph. D. Student 38 13%
Student > Bachelor 24 8%
Researcher 23 8%
Lecturer 12 4%
Other 52 18%
Unknown 97 34%
Readers by discipline Count As %
Computer Science 82 29%
Engineering 47 16%
Medicine and Dentistry 12 4%
Nursing and Health Professions 9 3%
Business, Management and Accounting 9 3%
Other 18 6%
Unknown 109 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 11 May 2018.
All research outputs
#13,891,874
of 23,026,672 outputs
Outputs from Journal of Medical Systems
#533
of 1,162 outputs
Outputs of similar age
#178,730
of 332,646 outputs
Outputs of similar age from Journal of Medical Systems
#14
of 39 outputs
Altmetric has tracked 23,026,672 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,162 research outputs from this source. They receive a mean Attention Score of 4.5. This one has gotten more attention than average, scoring higher than 53% of its peers.
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 332,646 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.