| Title |
A Neural Algorithm of Artistic Style
|
|---|---|
| Published in |
arXiv, August 2015
|
| Authors |
Leon A. Gatys, Alexander S. Ecker, Matthias Bethge |
X Demographics
The data shown below were collected from the profiles of 1,994 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 | 352 | 18% |
| Japan | 122 | 6% |
| United Kingdom | 115 | 6% |
| Canada | 58 | 3% |
| France | 58 | 3% |
| Germany | 54 | 3% |
| Spain | 43 | 2% |
| India | 33 | 2% |
| Netherlands | 31 | 2% |
| Other | 342 | 17% |
| Unknown | 786 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1690 | 85% |
| Scientists | 270 | 14% |
| Science communicators (journalists, bloggers, editors) | 23 | 1% |
| Practitioners (doctors, other healthcare professionals) | 7 | <1% |
| Unknown | 4 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 5,274 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 26 | <1% |
| China | 16 | <1% |
| Germany | 14 | <1% |
| United Kingdom | 10 | <1% |
| France | 9 | <1% |
| Japan | 6 | <1% |
| Netherlands | 4 | <1% |
| Italy | 4 | <1% |
| Ireland | 3 | <1% |
| Other | 43 | <1% |
| Unknown | 5139 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 1035 | 20% |
| Student > Ph. D. Student | 1019 | 19% |
| Researcher | 687 | 13% |
| Student > Bachelor | 630 | 12% |
| Other | 421 | 8% |
| Other | 535 | 10% |
| Unknown | 947 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2563 | 49% |
| Engineering | 683 | 13% |
| Physics and Astronomy | 182 | 3% |
| Mathematics | 135 | 3% |
| Agricultural and Biological Sciences | 110 | 2% |
| Other | 564 | 11% |
| Unknown | 1037 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2768. 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 12 April 2024.
All research outputs
#2,603
of 25,784,004 outputs
Outputs from arXiv
#19
of 944,707 outputs
Outputs of similar age
#6
of 279,927 outputs
Outputs of similar age from arXiv
#1
of 11,231 outputs
Altmetric has tracked 25,784,004 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 944,707 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 279,927 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 11,231 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.