↓ Skip to main content

Counting and characterising functions with “fast points” for differential attacks

Overview of attention for article published in Cryptography and Communications, November 2015
Altmetric Badge

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
1 Mendeley
Title
Counting and characterising functions with “fast points” for differential attacks
Published in
Cryptography and Communications, November 2015
DOI 10.1007/s12095-015-0166-1
Authors

Ana Sălăgean, Matei Mandache-Sălăgean

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 %
Unspecified 1 100%
Readers by discipline Count As %
Unspecified 1 100%

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 March 2017.
All research outputs
#7,019,635
of 9,210,205 outputs
Outputs from Cryptography and Communications
#7
of 13 outputs
Outputs of similar age
#208,166
of 293,111 outputs
Outputs of similar age from Cryptography and Communications
#1
of 1 outputs
Altmetric has tracked 9,210,205 research outputs across all sources so far. This one is in the 13th percentile – i.e., 13% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13 research outputs from this source. They receive a mean Attention Score of 1.1. This one scored the same or higher as 6 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 293,111 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
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