Title |
An Algebraic Framework for Diffie–Hellman Assumptions
|
---|---|
Published in |
Journal of Cryptology, October 2015
|
DOI | 10.1007/s00145-015-9220-6 |
Authors |
Alex Escala, Gottfried Herold, Eike Kiltz, Carla Ràfols, Jorge Villar |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 46 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 28% |
Student > Master | 6 | 13% |
Professor | 4 | 9% |
Researcher | 4 | 9% |
Other | 4 | 9% |
Other | 8 | 17% |
Unknown | 7 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 31 | 67% |
Biochemistry, Genetics and Molecular Biology | 1 | 2% |
Mathematics | 1 | 2% |
Physics and Astronomy | 1 | 2% |
Earth and Planetary Sciences | 1 | 2% |
Other | 2 | 4% |
Unknown | 9 | 20% |
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 06 February 2018.
All research outputs
#20,462,806
of 23,020,670 outputs
Outputs from Journal of Cryptology
#233
of 238 outputs
Outputs of similar age
#238,224
of 283,882 outputs
Outputs of similar age from Journal of Cryptology
#2
of 3 outputs
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So far Altmetric has tracked 238 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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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.