| Title |
On the Importance of Eliminating Errors in Cryptographic Computations
|
|---|---|
| Published in |
Journal of Cryptology, November 2000
|
| DOI | 10.1007/s001450010016 |
| Authors |
Dan Boneh, Richard A. DeMillo, Richard J. Lipton |
Mendeley readers
The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 2 | 2% |
| United States | 2 | 2% |
| Malaysia | 1 | <1% |
| Unknown | 97 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 25% |
| Student > Master | 17 | 17% |
| Researcher | 11 | 11% |
| Student > Doctoral Student | 7 | 7% |
| Student > Bachelor | 6 | 6% |
| Other | 23 | 23% |
| Unknown | 12 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 60 | 59% |
| Engineering | 15 | 15% |
| Mathematics | 7 | 7% |
| Unspecified | 1 | <1% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | <1% |
| Other | 2 | 2% |
| Unknown | 16 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 13 November 2023.
All research outputs
#1,400,573
of 24,803,011 outputs
Outputs from Journal of Cryptology
#4
of 253 outputs
Outputs of similar age
#1,803
of 117,444 outputs
Outputs of similar age from Journal of Cryptology
#1
of 1 outputs
Altmetric has tracked 24,803,011 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 253 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done particularly well, scoring higher than 98% 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 117,444 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
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