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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Learning to Protect Communications with Adversarial Neural Cryptography
|
|---|---|
| Published in |
arXiv, October 2016
|
| Authors |
Martín Abadi, David G. Andersen |
X Demographics
The data shown below were collected from the profiles of 392 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 | 72 | 18% |
| France | 20 | 5% |
| United Kingdom | 18 | 5% |
| Spain | 10 | 3% |
| Germany | 9 | 2% |
| India | 9 | 2% |
| Japan | 9 | 2% |
| Switzerland | 6 | 2% |
| Belgium | 6 | 2% |
| Other | 48 | 12% |
| Unknown | 185 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 339 | 86% |
| Scientists | 45 | 11% |
| Practitioners (doctors, other healthcare professionals) | 5 | 1% |
| Science communicators (journalists, bloggers, editors) | 3 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 470 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 1% |
| Germany | 4 | <1% |
| Canada | 2 | <1% |
| United Kingdom | 2 | <1% |
| Italy | 2 | <1% |
| Luxembourg | 2 | <1% |
| Japan | 2 | <1% |
| China | 2 | <1% |
| Spain | 2 | <1% |
| Other | 6 | 1% |
| Unknown | 441 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 105 | 22% |
| Student > Master | 89 | 19% |
| Researcher | 80 | 17% |
| Student > Bachelor | 50 | 11% |
| Other | 29 | 6% |
| Other | 51 | 11% |
| Unknown | 66 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 241 | 51% |
| Engineering | 68 | 14% |
| Agricultural and Biological Sciences | 15 | 3% |
| Physics and Astronomy | 14 | 3% |
| Mathematics | 9 | 2% |
| Other | 49 | 10% |
| Unknown | 74 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 616. 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 17 August 2023.
All research outputs
#37,126
of 25,738,558 outputs
Outputs from arXiv
#352
of 941,922 outputs
Outputs of similar age
#734
of 324,830 outputs
Outputs of similar age from arXiv
#8
of 13,474 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 941,922 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 99% 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 324,830 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 99% of its contemporaries.
We're also able to compare this research output to 13,474 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 99% of its contemporaries.