| Title |
The DecNef collection, fMRI data from closed-loop decoded neurofeedback experiments
|
|---|---|
| Published in |
Scientific Data, February 2021
|
| DOI | 10.1038/s41597-021-00845-7 |
| Pubmed ID | |
| Authors |
Aurelio Cortese, Saori C. Tanaka, Kaoru Amano, Ai Koizumi, Hakwan Lau, Yuka Sasaki, Kazuhisa Shibata, Vincent Taschereau-Dumouchel, Takeo Watanabe, Mitsuo Kawato |
X Demographics
The data shown below were collected from the profiles of 37 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 3 | 8% |
| United Kingdom | 3 | 8% |
| Argentina | 1 | 3% |
| Australia | 1 | 3% |
| Turkey | 1 | 3% |
| China | 1 | 3% |
| Germany | 1 | 3% |
| Canada | 1 | 3% |
| Netherlands | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 23 | 62% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 28 | 76% |
| Scientists | 7 | 19% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 22% |
| Student > Ph. D. Student | 9 | 18% |
| Student > Master | 7 | 14% |
| Student > Doctoral Student | 3 | 6% |
| Professor | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 11 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 11 | 22% |
| Engineering | 7 | 14% |
| Psychology | 5 | 10% |
| Medicine and Dentistry | 3 | 6% |
| Social Sciences | 3 | 6% |
| Other | 4 | 8% |
| Unknown | 16 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 145. 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 11 March 2022.
All research outputs
#290,353
of 25,750,437 outputs
Outputs from Scientific Data
#82
of 3,430 outputs
Outputs of similar age
#8,896
of 454,644 outputs
Outputs of similar age from Scientific Data
#3
of 89 outputs
Altmetric has tracked 25,750,437 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,430 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. 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 454,644 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 89 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 96% of its contemporaries.