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 |
New Features of Latin Dances: Analysis of Salsa, ChaCha, and Rumba
|
|---|---|
| Chapter number | 30 |
| Book title |
Fast Software Encryption
|
| Published in |
Lecture notes in computer science, January 2008
|
| DOI | 10.1007/978-3-540-71039-4_30 |
| Book ISBNs |
978-3-54-071038-7, 978-3-54-071039-4
|
| Authors |
Jean-Philippe Aumasson, Simon Fischer, Shahram Khazaei, Willi Meier, Christian Rechberger, Aumasson, Jean-Philippe, Fischer, Simon, Khazaei, Shahram, Meier, Willi, Rechberger, Christian |
| Editors |
Kaisa Nyberg |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 2% |
| Unknown | 57 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 26% |
| Student > Master | 13 | 22% |
| Researcher | 8 | 14% |
| Student > Doctoral Student | 3 | 5% |
| Student > Bachelor | 3 | 5% |
| Other | 11 | 19% |
| Unknown | 5 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 37 | 64% |
| Mathematics | 5 | 9% |
| Engineering | 5 | 9% |
| Physics and Astronomy | 2 | 3% |
| Design | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 8 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 09 February 2019.
All research outputs
#15,381,871
of 22,884,315 outputs
Outputs from Lecture notes in computer science
#4,648
of 8,127 outputs
Outputs of similar age
#131,634
of 156,490 outputs
Outputs of similar age from Lecture notes in computer science
#64
of 84 outputs
Altmetric has tracked 22,884,315 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 27th percentile – i.e., 27% 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 156,490 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 84 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.