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Risk management-based security evaluation model for telemedicine systems

Overview of attention for article published in BMC Medical Informatics and Decision Making, June 2020
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Mentioned by

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1 X user

Citations

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37 Dimensions

Readers on

mendeley
284 Mendeley
Title
Risk management-based security evaluation model for telemedicine systems
Published in
BMC Medical Informatics and Decision Making, June 2020
DOI 10.1186/s12911-020-01145-7
Pubmed ID
Authors

Dong-won Kim, Jin-young Choi, Keun-hee Han

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

Geographical breakdown

Country Count As %
Unknown 284 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 13%
Student > Master 32 11%
Student > Bachelor 22 8%
Researcher 17 6%
Other 13 5%
Other 60 21%
Unknown 103 36%
Readers by discipline Count As %
Computer Science 37 13%
Medicine and Dentistry 35 12%
Business, Management and Accounting 19 7%
Nursing and Health Professions 15 5%
Engineering 14 5%
Other 55 19%
Unknown 109 38%
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 25 August 2020.
All research outputs
#18,741,816
of 23,232,430 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,596
of 2,021 outputs
Outputs of similar age
#300,586
of 399,074 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#40
of 55 outputs
Altmetric has tracked 23,232,430 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 2,021 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 9th percentile – i.e., 9% 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 399,074 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.