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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine learning-based classification of chronic traumatic brain injury using hybrid diffusion imaging
|
|---|---|
| Published in |
Frontiers in Neuroscience, August 2023
|
| DOI | 10.3389/fnins.2023.1182509 |
| Pubmed ID | |
| Authors |
Jennifer J Muller, Ruixuan Wang, Devon Milddleton, Mahdi Alizadeh, Ki Chang Kang, Ryan Hryczyk, George Zabrecky, Chloe Hriso, Emily Navarreto, Nancy Wintering, Anthony J Bazzan, Chengyuan Wu, Daniel A Monti, Xun Jiao, Qianhong Wu, Andrew B Newberg, Feroze B Mohamed |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 20% |
| Switzerland | 1 | 20% |
| United States | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 36% |
| Professor > Associate Professor | 2 | 18% |
| Unspecified | 1 | 9% |
| Student > Master | 1 | 9% |
| Unknown | 3 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 18% |
| Psychology | 2 | 18% |
| Unspecified | 1 | 9% |
| Medicine and Dentistry | 1 | 9% |
| Neuroscience | 1 | 9% |
| Other | 1 | 9% |
| Unknown | 3 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 15 September 2023.
All research outputs
#8,305,323
of 25,481,734 outputs
Outputs from Frontiers in Neuroscience
#5,260
of 11,579 outputs
Outputs of similar age
#122,620
of 356,027 outputs
Outputs of similar age from Frontiers in Neuroscience
#102
of 326 outputs
Altmetric has tracked 25,481,734 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 11,579 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has gotten more attention than average, scoring higher than 53% 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 356,027 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 326 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 69% of its contemporaries.