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Towards developing a secure medical image sharing system based on zero trust principles and blockchain technology

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

twitter
1 tweeter

Citations

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5 Dimensions

Readers on

mendeley
63 Mendeley
Title
Towards developing a secure medical image sharing system based on zero trust principles and blockchain technology
Published in
BMC Medical Informatics and Decision Making, October 2020
DOI 10.1186/s12911-020-01275-y
Pubmed ID
Authors

Maliha Sultana, Afrida Hossain, Fabiha Laila, Kazi Abu Taher, Muhammad Nazrul Islam

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 21%
Student > Master 11 17%
Student > Doctoral Student 6 10%
Student > Bachelor 4 6%
Lecturer 3 5%
Other 10 16%
Unknown 16 25%
Readers by discipline Count As %
Computer Science 21 33%
Business, Management and Accounting 6 10%
Engineering 5 8%
Social Sciences 4 6%
Medicine and Dentistry 4 6%
Other 3 5%
Unknown 20 32%

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 14 November 2020.
All research outputs
#15,664,117
of 17,719,454 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,503
of 1,611 outputs
Outputs of similar age
#322,001
of 381,831 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#147
of 165 outputs
Altmetric has tracked 17,719,454 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,611 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 1st percentile – i.e., 1% 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 381,831 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 165 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.