| Title |
Introduction to differential power analysis
|
|---|---|
| Published in |
Journal of Cryptographic Engineering, March 2011
|
| DOI | 10.1007/s13389-011-0006-y |
| Authors |
Paul Kocher, Joshua Jaffe, Benjamin Jun, Pankaj Rohatgi |
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 % |
|---|---|---|
| Germany | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 234 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 1% |
| India | 2 | <1% |
| South Africa | 1 | <1% |
| United Kingdom | 1 | <1% |
| Pakistan | 1 | <1% |
| Unknown | 226 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 56 | 24% |
| Student > Master | 41 | 18% |
| Researcher | 21 | 9% |
| Student > Bachelor | 18 | 8% |
| Student > Doctoral Student | 12 | 5% |
| Other | 27 | 12% |
| Unknown | 59 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 90 | 38% |
| Engineering | 72 | 31% |
| Mathematics | 4 | 2% |
| Physics and Astronomy | 2 | <1% |
| Chemical Engineering | 1 | <1% |
| Other | 5 | 2% |
| Unknown | 60 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 19 March 2024.
All research outputs
#1,668,971
of 24,498,639 outputs
Outputs from Journal of Cryptographic Engineering
#2
of 72 outputs
Outputs of similar age
#6,617
of 112,577 outputs
Outputs of similar age from Journal of Cryptographic Engineering
#1
of 1 outputs
Altmetric has tracked 24,498,639 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 72 research outputs from this source. They receive a mean Attention Score of 4.0. 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 112,577 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 94% 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