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Machine Learning in Cyber Trust

Overview of attention for book
Overall attention for this book and its chapters
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Mentioned by

twitter
1 X user
facebook
1 Facebook page

Citations

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12 Dimensions

Readers on

mendeley
99 Mendeley
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Title
Machine Learning in Cyber Trust
Published by
ADS, January 2009
DOI 10.1007/978-0-387-88735-7
ISBNs
978-0-387-88734-0, 978-0-387-88735-7
Editors

Yu, Philip S., Tsai, Jeffrey J. P.

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

Geographical breakdown

Country Count As %
United States 2 2%
Canada 2 2%
Austria 1 1%
Ireland 1 1%
Brazil 1 1%
Unknown 92 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 27%
Researcher 17 17%
Student > Master 15 15%
Student > Bachelor 6 6%
Professor > Associate Professor 5 5%
Other 14 14%
Unknown 15 15%
Readers by discipline Count As %
Computer Science 55 56%
Engineering 16 16%
Business, Management and Accounting 3 3%
Arts and Humanities 2 2%
Social Sciences 2 2%
Other 6 6%
Unknown 15 15%
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 23 November 2017.
All research outputs
#17,919,786
of 23,007,887 outputs
Outputs from ADS
#31,174
of 37,438 outputs
Outputs of similar age
#157,824
of 170,061 outputs
Outputs of similar age from ADS
#821
of 902 outputs
Altmetric has tracked 23,007,887 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 37,438 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 15th percentile – i.e., 15% 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 170,061 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 902 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.