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Web Apollo: a web-based genomic annotation editing platform

Overview of attention for article published in Genome Biology (Online Edition), January 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)

Mentioned by

twitter
18 tweeters

Citations

dimensions_citation
281 Dimensions

Readers on

mendeley
263 Mendeley
citeulike
8 CiteULike
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Title
Web Apollo: a web-based genomic annotation editing platform
Published in
Genome Biology (Online Edition), January 2013
DOI 10.1186/gb-2013-14-8-r93
Pubmed ID
Authors

Eduardo Lee, Gregg A Helt, Justin T Reese, Monica C Munoz-Torres, Chris P Childers, Robert M Buels, Lincoln Stein, Ian H Holmes, Christine G Elsik, Suzanna E Lewis

Abstract

Web Apollo is the first instantaneous, collaborative genomic annotation editor available on the web. One of the natural consequences following from current advances in sequencing technology is that there are more and more researchers sequencing new genomes. These researchers require tools to describe the functional features of their newly sequenced genomes. With Web Apollo researchers can use any of the common browsers (for example, Chrome or Firefox) to jointly analyze and precisely describe the features of a genome in real time, whether they are in the same room or working from opposite sides of the world.

Twitter Demographics

The data shown below were collected from the profiles of 18 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 263 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 3%
Germany 3 1%
France 2 <1%
Brazil 1 <1%
Norway 1 <1%
Ireland 1 <1%
Switzerland 1 <1%
Netherlands 1 <1%
Sweden 1 <1%
Other 4 2%
Unknown 240 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 66 25%
Student > Ph. D. Student 56 21%
Student > Master 36 14%
Student > Bachelor 24 9%
Professor > Associate Professor 13 5%
Other 48 18%
Unknown 20 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 143 54%
Biochemistry, Genetics and Molecular Biology 61 23%
Computer Science 11 4%
Engineering 6 2%
Medicine and Dentistry 2 <1%
Other 16 6%
Unknown 24 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 16 November 2017.
All research outputs
#2,348,595
of 17,349,416 outputs
Outputs from Genome Biology (Online Edition)
#1,887
of 3,593 outputs
Outputs of similar age
#24,943
of 174,639 outputs
Outputs of similar age from Genome Biology (Online Edition)
#2
of 2 outputs
Altmetric has tracked 17,349,416 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,593 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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 174,639 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 85% 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.