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X Demographics
Mendeley readers
Attention Score in Context
| Title |
High-speed high-security signatures
|
|---|---|
| Published in |
Journal of Cryptographic Engineering, August 2012
|
| DOI | 10.1007/s13389-012-0027-1 |
| Authors |
Daniel J. Bernstein, Niels Duif, Tanja Lange, Peter Schwabe, Bo-Yin Yang |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 17% |
| Germany | 1 | 17% |
| United States | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 1% |
| Malaysia | 1 | <1% |
| Italy | 1 | <1% |
| New Zealand | 1 | <1% |
| Unknown | 154 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 19% |
| Student > Master | 28 | 18% |
| Researcher | 21 | 13% |
| Other | 14 | 9% |
| Student > Bachelor | 13 | 8% |
| Other | 10 | 6% |
| Unknown | 42 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 83 | 52% |
| Engineering | 12 | 8% |
| Physics and Astronomy | 8 | 5% |
| Mathematics | 7 | 4% |
| Social Sciences | 3 | 2% |
| Other | 3 | 2% |
| Unknown | 43 | 27% |
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 26 March 2024.
All research outputs
#2,402,054
of 24,171,551 outputs
Outputs from Journal of Cryptographic Engineering
#4
of 67 outputs
Outputs of similar age
#15,350
of 170,402 outputs
Outputs of similar age from Journal of Cryptographic Engineering
#2
of 2 outputs
Altmetric has tracked 24,171,551 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 67 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 95% 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 170,402 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 90% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.