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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
I Think, Therefore I Am: Usability and Security of Authentication Using Brainwaves
|
|---|---|
| Chapter number | 1 |
| Book title |
Financial Cryptography and Data Security
|
| Published in |
Lecture notes in computer science, January 2013
|
| DOI | 10.1007/978-3-642-41320-9_1 |
| Book ISBNs |
978-3-64-241319-3, 978-3-64-241320-9
|
| Authors |
John Chuang, Hamilton Nguyen, Charles Wang, Benjamin Johnson |
| Editors |
Andrew A. Adams, Michael Brenner, Matthew Smith |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 5% |
| Malaysia | 2 | 1% |
| India | 1 | <1% |
| Portugal | 1 | <1% |
| Unknown | 147 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 39 | 25% |
| Student > Master | 29 | 18% |
| Researcher | 20 | 13% |
| Student > Bachelor | 19 | 12% |
| Professor > Associate Professor | 10 | 6% |
| Other | 22 | 14% |
| Unknown | 20 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 71 | 45% |
| Engineering | 27 | 17% |
| Psychology | 9 | 6% |
| Agricultural and Biological Sciences | 6 | 4% |
| Neuroscience | 5 | 3% |
| Other | 20 | 13% |
| Unknown | 21 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 25 January 2017.
All research outputs
#1,460,412
of 22,875,477 outputs
Outputs from Lecture notes in computer science
#241
of 8,128 outputs
Outputs of similar age
#14,127
of 281,296 outputs
Outputs of similar age from Lecture notes in computer science
#9
of 315 outputs
Altmetric has tracked 22,875,477 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 8,128 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 97% 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 281,296 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 315 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.