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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine Learning in Amyotrophic Lateral Sclerosis: Achievements, Pitfalls, and Future Directions
|
|---|---|
| Published in |
Frontiers in Neuroscience, February 2019
|
| DOI | 10.3389/fnins.2019.00135 |
| Pubmed ID | |
| Authors |
Vincent Grollemund, Pierre-François Pradat, Giorgia Querin, François Delbot, Gaétan Le Chat, Jean-François Pradat-Peyre, Peter Bede |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 208 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 208 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 33 | 16% |
| Student > Ph. D. Student | 28 | 13% |
| Researcher | 21 | 10% |
| Student > Bachelor | 16 | 8% |
| Other | 10 | 5% |
| Other | 31 | 15% |
| Unknown | 69 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 27 | 13% |
| Computer Science | 25 | 12% |
| Neuroscience | 25 | 12% |
| Biochemistry, Genetics and Molecular Biology | 11 | 5% |
| Engineering | 11 | 5% |
| Other | 34 | 16% |
| Unknown | 75 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 04 December 2023.
All research outputs
#2,330,958
of 25,385,509 outputs
Outputs from Frontiers in Neuroscience
#1,391
of 11,543 outputs
Outputs of similar age
#52,440
of 367,419 outputs
Outputs of similar age from Frontiers in Neuroscience
#48
of 346 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,543 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 done well, scoring higher than 87% 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 367,419 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 85% of its contemporaries.
We're also able to compare this research output to 346 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.