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Detecting telecommunication fraud by understanding the contents of a call

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

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)

Mentioned by

policy
1 policy source

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
86 Mendeley
Title
Detecting telecommunication fraud by understanding the contents of a call
Published in
Cybersecurity, August 2018
DOI 10.1186/s42400-018-0008-5
Authors

Qianqian Zhao, Kai Chen, Tongxin Li, Yi Yang, XiaoFeng Wang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 86 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 14%
Researcher 5 6%
Student > Bachelor 5 6%
Other 4 5%
Student > Ph. D. Student 4 5%
Other 12 14%
Unknown 44 51%
Readers by discipline Count As %
Computer Science 17 20%
Engineering 9 10%
Economics, Econometrics and Finance 4 5%
Business, Management and Accounting 2 2%
Social Sciences 2 2%
Other 7 8%
Unknown 45 52%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 01 December 2020.
All research outputs
#8,538,940
of 25,385,509 outputs
Outputs from Cybersecurity
#15
of 48 outputs
Outputs of similar age
#138,580
of 345,542 outputs
Outputs of similar age from Cybersecurity
#1
of 3 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 48 research outputs from this source. They receive a mean Attention Score of 4.2. This one scored the same or higher as 33 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 345,542 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 52% of its contemporaries.
We're also able to compare this research output to 3 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