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X Demographics
Mendeley readers
Attention Score in Context
Title |
A Machine Learning Method for Identifying Critical Interactions Between Gene Pairs in Alzheimer's Disease Prediction
|
---|---|
Published in |
Frontiers in Neurology, October 2019
|
DOI | 10.3389/fneur.2019.01162 |
Pubmed ID | |
Authors |
Hao Chen, Yong He, Jiadong Ji, Yufeng Shi |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Belgium | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 50 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 14% |
Researcher | 7 | 14% |
Student > Master | 6 | 12% |
Student > Bachelor | 4 | 8% |
Other | 2 | 4% |
Other | 2 | 4% |
Unknown | 22 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 6 | 12% |
Agricultural and Biological Sciences | 4 | 8% |
Neuroscience | 4 | 8% |
Engineering | 3 | 6% |
Business, Management and Accounting | 2 | 4% |
Other | 7 | 14% |
Unknown | 24 | 48% |
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 30 December 2019.
All research outputs
#2,149,354
of 26,557,909 outputs
Outputs from Frontiers in Neurology
#935
of 15,121 outputs
Outputs of similar age
#43,858
of 382,270 outputs
Outputs of similar age from Frontiers in Neurology
#41
of 328 outputs
Altmetric has tracked 26,557,909 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 15,121 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done particularly well, scoring higher than 93% 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 382,270 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 328 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.