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Economic Models and Algorithms for Distributed Systems

Overview of attention for book
Attention for Chapter 6: Towards Dynamic Authentication in the Grid — Secure and Mobile Business Workflows Using GSet
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Mentioned by

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1 Facebook page

Citations

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5 Dimensions

Readers on

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5 Mendeley
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Chapter title
Towards Dynamic Authentication in the Grid — Secure and Mobile Business Workflows Using GSet
Chapter number 6
Book title
Economic Models and Algorithms for Distributed Systems
Published in
ADS, January 2016
DOI 10.1007/978-3-7643-8899-7_6
Book ISBNs
978-3-76-438896-6, 978-3-76-438899-7
Authors

Jürgen Mangler, Erich Schikuta, Christoph Witzany, Oliver Jorns, Irfan Ul Haq, Helmut Wanek

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 20%
Researcher 1 20%
Student > Postgraduate 1 20%
Student > Master 1 20%
Unknown 1 20%
Readers by discipline Count As %
Computer Science 3 60%
Business, Management and Accounting 1 20%
Unknown 1 20%
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 17 June 2014.
All research outputs
#20,231,392
of 22,757,090 outputs
Outputs from ADS
#33,959
of 37,309 outputs
Outputs of similar age
#333,182
of 396,417 outputs
Outputs of similar age from ADS
#501
of 576 outputs
Altmetric has tracked 22,757,090 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 37,309 research outputs from this source. They receive a mean Attention Score of 4.6. 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 396,417 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 576 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.