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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Decoding Toolbox (TDT): a versatile software package for multivariate analyses of functional imaging data
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, January 2015
|
| DOI | 10.3389/fninf.2014.00088 |
| Pubmed ID | |
| Authors |
Martin N. Hebart, Kai Görgen, John-Dylan Haynes |
X Demographics
The data shown below were collected from the profiles of 31 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 Kingdom | 8 | 26% |
| Germany | 3 | 10% |
| United States | 2 | 6% |
| Japan | 2 | 6% |
| Denmark | 1 | 3% |
| Antarctica | 1 | 3% |
| Australia | 1 | 3% |
| Italy | 1 | 3% |
| Sweden | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 8 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 15 | 48% |
| Members of the public | 15 | 48% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 507 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 2% |
| Germany | 4 | <1% |
| Netherlands | 2 | <1% |
| Austria | 1 | <1% |
| Malaysia | 1 | <1% |
| Japan | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 488 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 168 | 33% |
| Researcher | 93 | 18% |
| Student > Master | 70 | 14% |
| Student > Bachelor | 29 | 6% |
| Student > Doctoral Student | 21 | 4% |
| Other | 63 | 12% |
| Unknown | 63 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 188 | 37% |
| Neuroscience | 126 | 25% |
| Agricultural and Biological Sciences | 32 | 6% |
| Engineering | 20 | 4% |
| Computer Science | 12 | 2% |
| Other | 27 | 5% |
| Unknown | 102 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 November 2023.
All research outputs
#1,930,109
of 26,017,215 outputs
Outputs from Frontiers in Neuroinformatics
#49
of 849 outputs
Outputs of similar age
#25,480
of 364,684 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#2
of 9 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 849 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has done particularly well, scoring higher than 94% 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 364,684 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 92% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.