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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Illusory Motion Reproduced by Deep Neural Networks Trained for Prediction
|
|---|---|
| Published in |
Frontiers in Psychology, March 2018
|
| DOI | 10.3389/fpsyg.2018.00345 |
| Pubmed ID | |
| Authors |
Eiji Watanabe, Akiyoshi Kitaoka, Kiwako Sakamoto, Masaki Yasugi, Kenta Tanaka |
X Demographics
The data shown below were collected from the profiles of 219 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 45 | 21% |
| United States | 19 | 9% |
| United Kingdom | 9 | 4% |
| Australia | 5 | 2% |
| Italy | 3 | 1% |
| France | 3 | 1% |
| Spain | 3 | 1% |
| Canada | 2 | <1% |
| Singapore | 2 | <1% |
| Other | 11 | 5% |
| Unknown | 117 | 53% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 177 | 81% |
| Scientists | 35 | 16% |
| Practitioners (doctors, other healthcare professionals) | 5 | 2% |
| Science communicators (journalists, bloggers, editors) | 1 | <1% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 265 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 265 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 50 | 19% |
| Student > Master | 37 | 14% |
| Student > Bachelor | 35 | 13% |
| Researcher | 28 | 11% |
| Other | 18 | 7% |
| Other | 49 | 18% |
| Unknown | 48 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 55 | 21% |
| Psychology | 45 | 17% |
| Computer Science | 45 | 17% |
| Engineering | 23 | 9% |
| Agricultural and Biological Sciences | 11 | 4% |
| Other | 27 | 10% |
| Unknown | 59 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 191. 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 01 April 2024.
All research outputs
#213,368
of 25,805,386 outputs
Outputs from Frontiers in Psychology
#465
of 34,800 outputs
Outputs of similar age
#4,926
of 353,014 outputs
Outputs of similar age from Frontiers in Psychology
#13
of 577 outputs
Altmetric has tracked 25,805,386 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 34,800 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.5. This one has done particularly well, scoring higher than 98% 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 353,014 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 98% of its contemporaries.
We're also able to compare this research output to 577 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.