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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Financial Cryptography and Data Security
|
|---|---|
| Published by |
Lecture notes in computer science, January 2014
|
| DOI | 10.1007/978-3-662-44774-1 |
| ISBNs |
978-3-66-244773-4, 978-3-66-244774-1
|
| Editors |
Rainer Böhme, Michael Brenner, Tyler Moore, Matthew Smith |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 20% |
| United Arab Emirates | 1 | 20% |
| Mexico | 1 | 20% |
| Austria | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 944 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 3 | <1% |
| United Kingdom | 3 | <1% |
| United States | 3 | <1% |
| France | 2 | <1% |
| Netherlands | 2 | <1% |
| Germany | 2 | <1% |
| Chile | 1 | <1% |
| Switzerland | 1 | <1% |
| Vietnam | 1 | <1% |
| Other | 7 | <1% |
| Unknown | 919 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 227 | 24% |
| Student > Ph. D. Student | 175 | 19% |
| Student > Bachelor | 122 | 13% |
| Researcher | 79 | 8% |
| Student > Doctoral Student | 38 | 4% |
| Other | 118 | 13% |
| Unknown | 185 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 456 | 48% |
| Business, Management and Accounting | 75 | 8% |
| Engineering | 65 | 7% |
| Economics, Econometrics and Finance | 47 | 5% |
| Social Sciences | 34 | 4% |
| Other | 67 | 7% |
| Unknown | 200 | 21% |
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 20 February 2024.
All research outputs
#1,511,283
of 23,760,369 outputs
Outputs from Lecture notes in computer science
#240
of 8,162 outputs
Outputs of similar age
#17,796
of 309,531 outputs
Outputs of similar age from Lecture notes in computer science
#18
of 280 outputs
Altmetric has tracked 23,760,369 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 8,162 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. 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 309,531 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 280 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 93% of its contemporaries.