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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A machine learning-based classification approach on Parkinson’s disease diffusion tensor imaging datasets
|
|---|---|
| Published in |
Neurological Research and Practice, November 2020
|
| DOI | 10.1186/s42466-020-00092-y |
| Pubmed ID | |
| Authors |
Jannik Prasuhn, Marcus Heldmann, Thomas F. Münte, Norbert Brüggemann |
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 % |
|---|---|---|
| Germany | 1 | 20% |
| United Kingdom | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 2 | 8% |
| Other | 2 | 8% |
| Student > Ph. D. Student | 2 | 8% |
| Researcher | 2 | 8% |
| Student > Master | 2 | 8% |
| Other | 3 | 12% |
| Unknown | 12 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 4 | 16% |
| Computer Science | 4 | 16% |
| Medicine and Dentistry | 2 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Engineering | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 13 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 17 December 2020.
All research outputs
#14,236,580
of 23,262,131 outputs
Outputs from Neurological Research and Practice
#78
of 187 outputs
Outputs of similar age
#218,774
of 415,828 outputs
Outputs of similar age from Neurological Research and Practice
#9
of 24 outputs
Altmetric has tracked 23,262,131 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 187 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has gotten more attention than average, scoring higher than 56% 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 415,828 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 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 62% of its contemporaries.