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openSNP–A Crowdsourced Web Resource for Personal Genomics

Overview of attention for article published in PLOS ONE, March 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
twitter
54 X users
facebook
4 Facebook pages
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
85 Dimensions

Readers on

mendeley
90 Mendeley
Title
openSNP–A Crowdsourced Web Resource for Personal Genomics
Published in
PLOS ONE, March 2014
DOI 10.1371/journal.pone.0089204
Pubmed ID
Authors

Bastian Greshake, Philipp E. Bayer, Helge Rausch, Julia Reda

Abstract

Genome-Wide Association Studies are widely used to correlate phenotypic traits with genetic variants. These studies usually compare the genetic variation between two groups to single out certain Single Nucleotide Polymorphisms (SNPs) that are linked to a phenotypic variation in one of the groups. However, it is necessary to have a large enough sample size to find statistically significant correlations. Direct-To-Consumer (DTC) genetic testing can supply additional data: DTC-companies offer the analysis of a large amount of SNPs for an individual at low cost without the need to consult a physician or geneticist. Over 100,000 people have already been genotyped through Direct-To-Consumer genetic testing companies. However, this data is not public for a variety of reasons and thus cannot be used in research. It seems reasonable to create a central open data repository for such data. Here we present the web platform openSNP, an open database which allows participants of Direct-To-Consumer genetic testing to publish their genetic data at no cost along with phenotypic information. Through this crowdsourced effort of collecting genetic and phenotypic information, openSNP has become a resource for a wide area of studies, including Genome-Wide Association Studies. openSNP is hosted at http://www.opensnp.org, and the code is released under MIT-license at http://github.com/gedankenstuecke/snpr.

X Demographics

X Demographics

The data shown below were collected from the profiles of 54 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Germany 1 1%
Australia 1 1%
United Kingdom 1 1%
Brazil 1 1%
Japan 1 1%
Canada 1 1%
Unknown 81 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 21%
Student > Bachelor 15 17%
Student > Ph. D. Student 12 13%
Student > Master 11 12%
Student > Doctoral Student 7 8%
Other 17 19%
Unknown 9 10%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 19%
Computer Science 16 18%
Agricultural and Biological Sciences 13 14%
Medicine and Dentistry 11 12%
Social Sciences 5 6%
Other 15 17%
Unknown 13 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 52. 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 August 2021.
All research outputs
#797,844
of 25,152,132 outputs
Outputs from PLOS ONE
#10,653
of 218,157 outputs
Outputs of similar age
#7,481
of 229,668 outputs
Outputs of similar age from PLOS ONE
#311
of 5,420 outputs
Altmetric has tracked 25,152,132 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 218,157 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one has done particularly well, scoring higher than 95% 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 229,668 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 96% of its contemporaries.
We're also able to compare this research output to 5,420 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.