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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Everything Matters: The ReproNim Perspective on Reproducible Neuroimaging
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, February 2019
|
| DOI | 10.3389/fninf.2019.00001 |
| Pubmed ID | |
| Authors |
David N. Kennedy, Sanu A. Abraham, Julianna F. Bates, Albert Crowley, Satrajit Ghosh, Tom Gillespie, Mathias Goncalves, Jeffrey S. Grethe, Yaroslav O. Halchenko, Michael Hanke, Christian Haselgrove, Steven M. Hodge, Dorota Jarecka, Jakub Kaczmarzyk, David B. Keator, Kyle Meyer, Maryann E. Martone, Smruti Padhy, Jean-Baptiste Poline, Nina Preuss, Troy Sincomb, Matt Travers |
X Demographics
The data shown below were collected from the profiles of 12 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 | 3 | 25% |
| Canada | 1 | 8% |
| United Kingdom | 1 | 8% |
| Georgia | 1 | 8% |
| Switzerland | 1 | 8% |
| Unknown | 5 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 67% |
| Scientists | 3 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 31% |
| Researcher | 9 | 18% |
| Student > Doctoral Student | 4 | 8% |
| Student > Master | 4 | 8% |
| Student > Bachelor | 3 | 6% |
| Other | 7 | 14% |
| Unknown | 8 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 12 | 24% |
| Psychology | 10 | 20% |
| Medicine and Dentistry | 4 | 8% |
| Computer Science | 3 | 6% |
| Social Sciences | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 14 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 19 August 2021.
All research outputs
#4,958,301
of 25,867,969 outputs
Outputs from Frontiers in Neuroinformatics
#236
of 847 outputs
Outputs of similar age
#105,229
of 448,878 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#7
of 19 outputs
Altmetric has tracked 25,867,969 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 847 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 72% 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 448,878 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.