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 |
The SKINNY Family of Block Ciphers and Its Low-Latency Variant MANTIS
|
|---|---|
| Chapter number | 5 |
| Book title |
Advances in Cryptology – CRYPTO 2016
|
| Published in |
Lecture notes in computer science, July 2016
|
| DOI | 10.1007/978-3-662-53008-5_5 |
| Book ISBNs |
978-3-66-253007-8, 978-3-66-253008-5
|
| Authors |
Christof Beierle, Jérémy Jean, Stefan Kölbl, Gregor Leander, Amir Moradi, Thomas Peyrin, Yu Sasaki, Pascal Sasdrich, Siang Meng Sim |
| Editors |
Matthew Robshaw, Jonathan Katz |
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 % |
|---|---|---|
| Nigeria | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 101 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 18% |
| Researcher | 13 | 13% |
| Student > Master | 12 | 12% |
| Lecturer | 6 | 6% |
| Student > Doctoral Student | 3 | 3% |
| Other | 10 | 10% |
| Unknown | 39 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 42 | 42% |
| Engineering | 7 | 7% |
| Mathematics | 6 | 6% |
| Physics and Astronomy | 2 | 2% |
| Philosophy | 1 | <1% |
| Other | 2 | 2% |
| Unknown | 41 | 41% |
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 23 December 2016.
All research outputs
#18,467,278
of 22,882,389 outputs
Outputs from Lecture notes in computer science
#6,013
of 8,129 outputs
Outputs of similar age
#280,375
of 364,410 outputs
Outputs of similar age from Lecture notes in computer science
#299
of 448 outputs
Altmetric has tracked 22,882,389 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,129 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 13th percentile – i.e., 13% 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 364,410 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 448 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.