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High-performance web services for querying gene and variant annotation

Overview of attention for article published in Genome Biology (Online Edition), May 2016
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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 (97th percentile)

Mentioned by

news
9 news outlets
blogs
2 blogs
twitter
47 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
85 Dimensions

Readers on

mendeley
123 Mendeley
citeulike
3 CiteULike
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Title
High-performance web services for querying gene and variant annotation
Published in
Genome Biology (Online Edition), May 2016
DOI 10.1186/s13059-016-0953-9
Pubmed ID
Authors

Jiwen Xin, Adam Mark, Cyrus Afrasiabi, Ginger Tsueng, Moritz Juchler, Nikhil Gopal, Gregory S. Stupp, Timothy E. Putman, Benjamin J. Ainscough, Obi L. Griffith, Ali Torkamani, Patricia L. Whetzel, Christopher J. Mungall, Sean D. Mooney, Andrew I. Su, Chunlei Wu

Abstract

Efficient tools for data management and integration are essential for many aspects of high-throughput biology. In particular, annotations of genes and human genetic variants are commonly used but highly fragmented across many resources. Here, we describe MyGene.info and MyVariant.info, high-performance web services for querying gene and variant annotation information. These web services are currently accessed more than three million times permonth. They also demonstrate a generalizable cloud-based model for organizing and querying biological annotation information. MyGene.info and MyVariant.info are provided as high-performance web services, accessible at http://mygene.info and http://myvariant.info . Both are offered free of charge to the research community.

Twitter Demographics

The data shown below were collected from the profiles of 47 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
Spain 3 2%
Czechia 1 <1%
Australia 1 <1%
United Kingdom 1 <1%
Germany 1 <1%
Portugal 1 <1%
Unknown 111 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 28%
Student > Ph. D. Student 28 23%
Student > Bachelor 13 11%
Student > Master 11 9%
Other 10 8%
Other 17 14%
Unknown 9 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 28%
Biochemistry, Genetics and Molecular Biology 35 28%
Computer Science 26 21%
Medicine and Dentistry 5 4%
Engineering 4 3%
Other 7 6%
Unknown 11 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 106. 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 25 June 2018.
All research outputs
#140,761
of 13,133,585 outputs
Outputs from Genome Biology (Online Edition)
#113
of 2,946 outputs
Outputs of similar age
#5,561
of 263,747 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 2 outputs
Altmetric has tracked 13,133,585 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,946 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.6. This one has done particularly well, scoring higher than 96% 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 263,747 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 97% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them