You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
A Formal Treatment of Backdoored Pseudorandom Generators
|
|---|---|
| Chapter number | 5 |
| Book title |
Advances in Cryptology -- EUROCRYPT 2015
|
| Published in |
Lecture notes in computer science, April 2015
|
| DOI | 10.1007/978-3-662-46800-5_5 |
| Book ISBNs |
978-3-66-246799-2, 978-3-66-246800-5
|
| Authors |
Yevgeniy Dodis, Chaya Ganesh, Alexander Golovnev, Ari Juels, Thomas Ristenpart, Dodis, Yevgeniy, Ganesh, Chaya, Golovnev, Alexander, Juels, Ari, Ristenpart, Thomas |
| Editors |
Elisabeth Oswald, Marc Fischlin |
X Demographics
The data shown below were collected from the profiles of 20 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 8 | 40% |
| United Arab Emirates | 1 | 5% |
| Unknown | 11 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 95% |
| Scientists | 1 | 5% |
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 % |
|---|---|---|
| India | 1 | 2% |
| Unknown | 45 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 35% |
| Student > Master | 7 | 15% |
| Researcher | 4 | 9% |
| Other | 3 | 7% |
| Lecturer | 3 | 7% |
| Other | 7 | 15% |
| Unknown | 6 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 29 | 63% |
| Mathematics | 4 | 9% |
| Physics and Astronomy | 2 | 4% |
| Engineering | 2 | 4% |
| Immunology and Microbiology | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 7 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 30 March 2022.
All research outputs
#2,583,580
of 25,721,020 outputs
Outputs from Lecture notes in computer science
#456
of 8,171 outputs
Outputs of similar age
#31,877
of 280,086 outputs
Outputs of similar age from Lecture notes in computer science
#5
of 91 outputs
Altmetric has tracked 25,721,020 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,171 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 94% 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 280,086 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.