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X Demographics
Attention Score in Context
Chapter title |
Improving the Reproducibility of Genetic Association Results Using Genotype Resampling Methods
|
---|---|
Chapter number | 7 |
Book title |
Applications of Evolutionary Computation
|
Published in |
Lecture notes in computer science, March 2017
|
DOI | 10.1007/978-3-319-55849-3_7 |
Book ISBNs |
978-3-31-955848-6, 978-3-31-955849-3
|
Authors |
Elizabeth R. Piette, Jason H. Moore |
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% |
Germany | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 100% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 06 May 2017.
All research outputs
#6,473,847
of 22,965,074 outputs
Outputs from Lecture notes in computer science
#2,111
of 8,137 outputs
Outputs of similar age
#105,021
of 309,171 outputs
Outputs of similar age from Lecture notes in computer science
#15
of 100 outputs
Altmetric has tracked 22,965,074 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 8,137 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 72% 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 309,171 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 100 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.