You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Validation of machine learning models to detect amyloid pathologies across institutions
|
---|---|
Published in |
Acta Neuropathologica Communications, April 2020
|
DOI | 10.1186/s40478-020-00927-4 |
Pubmed ID | |
Authors |
Juan C. Vizcarra, Marla Gearing, Michael J. Keiser, Jonathan D. Glass, Brittany N. Dugger, David A. Gutman |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 36 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 19% |
Student > Ph. D. Student | 5 | 14% |
Student > Doctoral Student | 3 | 8% |
Student > Bachelor | 2 | 6% |
Professor | 2 | 6% |
Other | 7 | 19% |
Unknown | 10 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 8 | 22% |
Neuroscience | 7 | 19% |
Computer Science | 3 | 8% |
Biochemistry, Genetics and Molecular Biology | 2 | 6% |
Engineering | 2 | 6% |
Other | 3 | 8% |
Unknown | 11 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 02 May 2020.
All research outputs
#1,809,940
of 23,204,238 outputs
Outputs from Acta Neuropathologica Communications
#222
of 1,405 outputs
Outputs of similar age
#48,764
of 377,525 outputs
Outputs of similar age from Acta Neuropathologica Communications
#12
of 50 outputs
Altmetric has tracked 23,204,238 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,405 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.8. This one has done well, scoring higher than 84% 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 377,525 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 50 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.