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A Physical Unclonable Function With Redox-Based Nanoionic Resistive Memory

Overview of attention for article published in IEEE Transactions on Information Forensics and Security, February 2018
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1 Facebook page

Citations

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5 Dimensions

Readers on

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14 Mendeley
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Title
A Physical Unclonable Function With Redox-Based Nanoionic Resistive Memory
Published in
IEEE Transactions on Information Forensics and Security, February 2018
DOI 10.1109/tifs.2017.2756562
Authors

Jeeson Kim, Taimur Ahmed, Hussein Nili, Jiawei Yang, Doo Seok Jeong, Paul Beckett, Sharath Sriram, Damith C. Ranasinghe, Omid Kavehei

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 7%
Israel 1 7%
Unknown 12 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 57%
Student > Master 2 14%
Researcher 2 14%
Student > Bachelor 1 7%
Professor > Associate Professor 1 7%
Other 0 0%
Readers by discipline Count As %
Engineering 10 71%
Physics and Astronomy 1 7%
Computer Science 1 7%
Materials Science 1 7%
Business, Management and Accounting 1 7%
Other 0 0%

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 27 September 2017.
All research outputs
#10,489,108
of 11,834,771 outputs
Outputs from IEEE Transactions on Information Forensics and Security
#298
of 318 outputs
Outputs of similar age
#228,508
of 270,898 outputs
Outputs of similar age from IEEE Transactions on Information Forensics and Security
#7
of 7 outputs
Altmetric has tracked 11,834,771 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 318 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. 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 270,898 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 7 others from the same source and published within six weeks on either side of this one.