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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Exploring fMRI Results Space: 31 Variants of an fMRI Analysis in AFNI, FSL, and SPM
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, July 2016
|
| DOI | 10.3389/fninf.2016.00024 |
| Pubmed ID | |
| Authors |
Ruth Pauli, Alexander Bowring, Richard Reynolds, Gang Chen, Thomas E. Nichols, Camille Maumet |
X Demographics
The data shown below were collected from the profiles of 102 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 | 27 | 26% |
| United Kingdom | 18 | 18% |
| Canada | 8 | 8% |
| Norway | 3 | 3% |
| Germany | 3 | 3% |
| Netherlands | 2 | 2% |
| Mexico | 1 | <1% |
| Brazil | 1 | <1% |
| Italy | 1 | <1% |
| Other | 7 | 7% |
| Unknown | 31 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 59 | 58% |
| Scientists | 36 | 35% |
| Practitioners (doctors, other healthcare professionals) | 5 | 5% |
| Science communicators (journalists, bloggers, editors) | 2 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Belgium | 1 | <1% |
| Austria | 1 | <1% |
| Taiwan | 1 | <1% |
| Unknown | 114 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 27% |
| Researcher | 32 | 27% |
| Student > Postgraduate | 8 | 7% |
| Student > Doctoral Student | 7 | 6% |
| Other | 7 | 6% |
| Other | 21 | 18% |
| Unknown | 11 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 31 | 26% |
| Psychology | 27 | 23% |
| Engineering | 9 | 8% |
| Medicine and Dentistry | 7 | 6% |
| Computer Science | 5 | 4% |
| Other | 11 | 9% |
| Unknown | 28 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 75. 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 03 February 2023.
All research outputs
#577,528
of 25,550,333 outputs
Outputs from Frontiers in Neuroinformatics
#14
of 842 outputs
Outputs of similar age
#11,382
of 370,830 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#2
of 20 outputs
Altmetric has tracked 25,550,333 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 842 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. 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 370,830 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 96% of its contemporaries.
We're also able to compare this research output to 20 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 95% of its contemporaries.