| Title |
Efficient Constant-Round Multi-party Computation Combining BMR and SPDZ
|
|---|---|
| Published in |
Journal of Cryptology, April 2019
|
| DOI | 10.1007/s00145-019-09322-2 |
| Authors |
Yehuda Lindell, Benny Pinkas, Nigel P. Smart, Avishay Yanai |
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 % |
|---|---|---|
| Belgium | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 28% |
| Other | 4 | 9% |
| Student > Bachelor | 4 | 9% |
| Student > Master | 4 | 9% |
| Student > Doctoral Student | 3 | 6% |
| Other | 10 | 21% |
| Unknown | 9 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 29 | 62% |
| Engineering | 5 | 11% |
| Mathematics | 1 | 2% |
| Physics and Astronomy | 1 | 2% |
| Arts and Humanities | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 10 | 21% |
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 18 July 2019.
All research outputs
#13,938,655
of 24,525,936 outputs
Outputs from Journal of Cryptology
#197
of 248 outputs
Outputs of similar age
#168,337
of 355,060 outputs
Outputs of similar age from Journal of Cryptology
#4
of 4 outputs
Altmetric has tracked 24,525,936 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 248 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
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 355,060 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.