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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
How Not to Prove Yourself: Pitfalls of the Fiat-Shamir Heuristic and Applications to Helios
|
|---|---|
| Chapter number | 38 |
| Book title |
Advances in Cryptology – ASIACRYPT 2012
|
| Published in |
Lecture notes in computer science, January 2012
|
| DOI | 10.1007/978-3-642-34961-4_38 |
| Book ISBNs |
978-3-64-234960-7, 978-3-64-234961-4
|
| Authors |
David Bernhard, Olivier Pereira, Bogdan Warinschi |
| Editors |
Xiaoyun Wang, Kazue Sako |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 33% |
| United States | 1 | 33% |
| Spain | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 3% |
| Unknown | 77 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 20 | 25% |
| Student > Ph. D. Student | 19 | 24% |
| Researcher | 12 | 15% |
| Student > Postgraduate | 4 | 5% |
| Student > Doctoral Student | 3 | 4% |
| Other | 12 | 15% |
| Unknown | 9 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 51 | 65% |
| Mathematics | 7 | 9% |
| Engineering | 4 | 5% |
| Physics and Astronomy | 3 | 4% |
| Design | 2 | 3% |
| Other | 0 | 0% |
| Unknown | 12 | 15% |
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 16 May 2023.
All research outputs
#13,505,554
of 23,773,220 outputs
Outputs from Lecture notes in computer science
#3,821
of 8,163 outputs
Outputs of similar age
#148,072
of 248,854 outputs
Outputs of similar age from Lecture notes in computer science
#195
of 488 outputs
Altmetric has tracked 23,773,220 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,163 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has gotten more attention than average, scoring higher than 51% of its peers.
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 248,854 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 488 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.