| Title |
A high-resolution 7-Tesla fMRI dataset from complex natural stimulation with an audio movie
|
|---|---|
| Published in |
Scientific Data, May 2014
|
| DOI | 10.1038/sdata.2014.3 |
| Pubmed ID | |
| Authors |
Michael Hanke, Florian J. Baumgartner, Pierre Ibe, Falko R. Kaule, Stefan Pollmann, Oliver Speck, Wolf Zinke, Jörg Stadler |
X Demographics
The data shown below were collected from the profiles of 27 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 | 6 | 22% |
| United Kingdom | 6 | 22% |
| France | 1 | 4% |
| Canada | 1 | 4% |
| Finland | 1 | 4% |
| Korea, Republic of | 1 | 4% |
| Unknown | 11 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 21 | 78% |
| Scientists | 4 | 15% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 241 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | <1% |
| United States | 2 | <1% |
| Japan | 2 | <1% |
| Canada | 2 | <1% |
| Netherlands | 1 | <1% |
| Australia | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 230 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 52 | 22% |
| Student > Ph. D. Student | 50 | 21% |
| Student > Master | 31 | 13% |
| Professor | 16 | 7% |
| Student > Bachelor | 16 | 7% |
| Other | 33 | 14% |
| Unknown | 43 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 49 | 20% |
| Psychology | 45 | 19% |
| Computer Science | 18 | 7% |
| Agricultural and Biological Sciences | 16 | 7% |
| Medicine and Dentistry | 10 | 4% |
| Other | 39 | 16% |
| Unknown | 64 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 60. 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 13 October 2020.
All research outputs
#702,289
of 25,303,733 outputs
Outputs from Scientific Data
#275
of 3,263 outputs
Outputs of similar age
#6,447
of 233,405 outputs
Outputs of similar age from Scientific Data
#4
of 12 outputs
Altmetric has tracked 25,303,733 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,263 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.3. This one has done particularly well, scoring higher than 91% 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 233,405 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 97% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.