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Mendeley readers
Attention Score in Context
| Chapter title |
AEGIS: A Fast Authenticated Encryption Algorithm
|
|---|---|
| Chapter number | 10 |
| Book title |
Selected Areas in Cryptography -- SAC 2013
|
| Published in |
Lecture notes in computer science, August 2013
|
| DOI | 10.1007/978-3-662-43414-7_10 |
| Book ISBNs |
978-3-66-243413-0, 978-3-66-243414-7
|
| Authors |
Hongjun Wu, Bart Preneel |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 31% |
| Student > Master | 5 | 13% |
| Researcher | 4 | 10% |
| Student > Bachelor | 2 | 5% |
| Other | 2 | 5% |
| Other | 8 | 21% |
| Unknown | 6 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 21 | 54% |
| Engineering | 5 | 13% |
| Mathematics | 3 | 8% |
| Physics and Astronomy | 1 | 3% |
| Environmental Science | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 8 | 21% |
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 02 March 2015.
All research outputs
#20,265,771
of 22,796,179 outputs
Outputs from Lecture notes in computer science
#6,984
of 8,127 outputs
Outputs of similar age
#172,349
of 196,551 outputs
Outputs of similar age from Lecture notes in computer science
#175
of 191 outputs
Altmetric has tracked 22,796,179 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% 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 1st percentile – i.e., 1% 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 196,551 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 191 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.