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X Demographics
Mendeley readers
Attention Score in Context
Title |
Deep learning reveals disease-specific signatures of white matter pathology in tauopathies
|
---|---|
Published in |
Acta Neuropathologica Communications, October 2021
|
DOI | 10.1186/s40478-021-01271-x |
Pubmed ID | |
Authors |
Anthony R. Vega, Rati Chkheidze, Vipul Jarmale, Ping Shang, Chan Foong, Marc I. Diamond, Charles L. White, Satwik Rajaram |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 50% |
Germany | 1 | 10% |
Unknown | 4 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 50% |
Scientists | 4 | 40% |
Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 22 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 2 | 9% |
Other | 2 | 9% |
Student > Doctoral Student | 2 | 9% |
Researcher | 2 | 9% |
Student > Bachelor | 1 | 5% |
Other | 2 | 9% |
Unknown | 11 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 6 | 27% |
Unspecified | 2 | 9% |
Biochemistry, Genetics and Molecular Biology | 1 | 5% |
Neuroscience | 1 | 5% |
Nursing and Health Professions | 1 | 5% |
Other | 0 | 0% |
Unknown | 11 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 25 December 2021.
All research outputs
#2,148,594
of 25,153,613 outputs
Outputs from Acta Neuropathologica Communications
#306
of 1,557 outputs
Outputs of similar age
#48,221
of 434,846 outputs
Outputs of similar age from Acta Neuropathologica Communications
#9
of 41 outputs
Altmetric has tracked 25,153,613 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,557 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one has done well, scoring higher than 80% 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 434,846 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 88% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.