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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Diffantom: Whole-Brain Diffusion MRI Phantoms Derived from Real Datasets of the Human Connectome Project
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, February 2016
|
| DOI | 10.3389/fninf.2016.00004 |
| Pubmed ID | |
| Authors |
Oscar Esteban, Emmanuel Caruyer, Alessandro Daducci, Meritxell Bach-Cuadra, María J. Ledesma-Carbayo, Andres Santos |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 25% |
| United States | 1 | 13% |
| Finland | 1 | 13% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Scientists | 2 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | 5% |
| United States | 1 | 2% |
| Spain | 1 | 2% |
| Unknown | 38 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 29% |
| Student > Ph. D. Student | 7 | 17% |
| Student > Master | 5 | 12% |
| Student > Doctoral Student | 4 | 10% |
| Professor > Associate Professor | 3 | 7% |
| Other | 4 | 10% |
| Unknown | 7 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 9 | 21% |
| Medicine and Dentistry | 5 | 12% |
| Computer Science | 4 | 10% |
| Physics and Astronomy | 4 | 10% |
| Neuroscience | 3 | 7% |
| Other | 6 | 14% |
| Unknown | 11 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 02 March 2016.
All research outputs
#5,687,497
of 22,840,638 outputs
Outputs from Frontiers in Neuroinformatics
#280
of 749 outputs
Outputs of similar age
#93,086
of 397,231 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#6
of 12 outputs
Altmetric has tracked 22,840,638 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 749 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one has gotten more attention than average, scoring higher than 62% 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 397,231 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 12 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 50% of its contemporaries.