The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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 |
Deep learning approaches for noncoding variant prioritization in neurodegenerative diseases
|
---|---|
Published in |
Frontiers in Aging Neuroscience, November 2022
|
DOI | 10.3389/fnagi.2022.1027224 |
Pubmed ID | |
Authors |
Alexander Y. Lan, M. Ryan Corces |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 31% |
Unknown | 9 | 69% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 10 | 77% |
Members of the public | 3 | 23% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 17 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 29% |
Researcher | 2 | 12% |
Student > Postgraduate | 2 | 12% |
Unknown | 8 | 47% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 4 | 24% |
Agricultural and Biological Sciences | 2 | 12% |
Nursing and Health Professions | 1 | 6% |
Unspecified | 1 | 6% |
Unknown | 9 | 53% |
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 09 December 2022.
All research outputs
#2,114,011
of 26,135,447 outputs
Outputs from Frontiers in Aging Neuroscience
#604
of 5,635 outputs
Outputs of similar age
#44,682
of 497,874 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#28
of 246 outputs
Altmetric has tracked 26,135,447 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 5,635 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has done well, scoring higher than 89% 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 497,874 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 246 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.