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 |
Efficient Java Implementation of Elliptic Curve Cryptography for J2ME-Enabled Mobile Devices
|
|---|---|
| Chapter number | 17 |
| Book title |
Information Security Theory and Practice. Security, Privacy and Trust in Computing Systems and Ambient Intelligent Ecosystems
|
| Published in |
Lecture notes in computer science, January 2012
|
| DOI | 10.1007/978-3-642-30955-7_17 |
| Book ISBNs |
978-3-64-230954-0, 978-3-64-230955-7
|
| Authors |
Johann Großschädl, Dan Page, Stefan Tillich |
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 % |
|---|---|---|
| United Kingdom | 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Korea, Republic of | 1 | 2% |
| India | 1 | 2% |
| Unknown | 49 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 31% |
| Student > Master | 10 | 20% |
| Researcher | 5 | 10% |
| Student > Bachelor | 3 | 6% |
| Student > Doctoral Student | 2 | 4% |
| Other | 8 | 16% |
| Unknown | 7 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 30 | 59% |
| Social Sciences | 4 | 8% |
| Engineering | 4 | 8% |
| Mathematics | 3 | 6% |
| Medicine and Dentistry | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 8 | 16% |
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 28 June 2012.
All research outputs
#15,246,403
of 22,669,724 outputs
Outputs from Lecture notes in computer science
#4,644
of 8,122 outputs
Outputs of similar age
#163,162
of 244,072 outputs
Outputs of similar age from Lecture notes in computer science
#268
of 490 outputs
Altmetric has tracked 22,669,724 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 8,122 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 244,072 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 490 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.