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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Machine Learning Analysis Reveals Biomarkers for the Detection of Neurological Diseases
|
---|---|
Published in |
Frontiers in Molecular Neuroscience, May 2022
|
DOI | 10.3389/fnmol.2022.889728 |
Pubmed ID | |
Authors |
Simon Lam, Muhammad Arif, Xiya Song, Mathias Uhlén, Adil Mardinoglu |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 9% |
Germany | 1 | 9% |
Chile | 1 | 9% |
Switzerland | 1 | 9% |
Unknown | 7 | 64% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 9 | 82% |
Scientists | 2 | 18% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 45 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 11% |
Researcher | 4 | 9% |
Student > Bachelor | 4 | 9% |
Student > Master | 3 | 7% |
Lecturer | 2 | 4% |
Other | 9 | 20% |
Unknown | 18 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 8 | 18% |
Biochemistry, Genetics and Molecular Biology | 5 | 11% |
Neuroscience | 3 | 7% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
Unspecified | 2 | 4% |
Other | 6 | 13% |
Unknown | 19 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 24 June 2022.
All research outputs
#2,649,441
of 26,798,288 outputs
Outputs from Frontiers in Molecular Neuroscience
#250
of 3,496 outputs
Outputs of similar age
#56,051
of 453,181 outputs
Outputs of similar age from Frontiers in Molecular Neuroscience
#11
of 171 outputs
Altmetric has tracked 26,798,288 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 3,496 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one has done particularly well, scoring higher than 92% 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 453,181 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 87% of its contemporaries.
We're also able to compare this research output to 171 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.