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Using IM-Visor to stop untrusted IME apps from stealing sensitive keystrokes

Overview of attention for article published in Cybersecurity, June 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)

Mentioned by

twitter
11 tweeters
googleplus
1 Google+ user

Readers on

mendeley
1 Mendeley
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Title
Using IM-Visor to stop untrusted IME apps from stealing sensitive keystrokes
Published in
Cybersecurity, June 2018
DOI 10.1186/s42400-018-0007-6
Authors

Chen Tian, Yazhe Wang, Peng Liu, Qihui Zhou, Chengyi Zhang

Twitter Demographics

The data shown below were collected from the profiles of 11 tweeters 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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Computer Science 1 100%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 13 July 2018.
All research outputs
#2,892,885
of 13,218,736 outputs
Outputs from Cybersecurity
#2
of 9 outputs
Outputs of similar age
#74,603
of 267,247 outputs
Outputs of similar age from Cybersecurity
#1
of 1 outputs
Altmetric has tracked 13,218,736 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9 research outputs from this source. They receive a mean Attention Score of 2.3. This one scored the same or higher as 7 of them.
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 267,247 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them