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SEQanswers: an open access community for collaboratively decoding genomes

Overview of attention for article published in Bioinformatics, March 2012
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

blogs
3 blogs
twitter
70 tweeters
facebook
3 Facebook pages
googleplus
2 Google+ users

Citations

dimensions_citation
47 Dimensions

Readers on

mendeley
128 Mendeley
citeulike
15 CiteULike
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Title
SEQanswers: an open access community for collaboratively decoding genomes
Published in
Bioinformatics, March 2012
DOI 10.1093/bioinformatics/bts128
Pubmed ID
Authors

Jing-Woei Li, Robert Schmieder, R. Matthew Ward, Joann Delenick, Eric C. Olivares, David Mittelman

Abstract

The affordability of high-throughput sequencing has created an unprecedented surge in the use of genomic data in basic, translational and clinical research. The rapid evolution of sequencing technology, coupled with its broad adoption across biology and medicine, necessitates fast, collaborative interdisciplinary discussion. SEQanswers provides a real-time knowledge-sharing resource to address this need, covering experimental and computational aspects of sequencing and sequence analysis. Developers of popular analysis tools are among the >4000 active members, and ~40 peer-reviewed publications have referenced SEQanswers.

Twitter Demographics

The data shown below were collected from the profiles of 70 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 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 8%
Germany 4 3%
Sweden 3 2%
Brazil 3 2%
Norway 2 2%
France 2 2%
United Kingdom 2 2%
Italy 2 2%
Netherlands 2 2%
Other 7 5%
Unknown 91 71%

Demographic breakdown

Readers by professional status Count As %
Researcher 54 42%
Student > Ph. D. Student 28 22%
Student > Master 11 9%
Other 8 6%
Professor > Associate Professor 7 5%
Other 20 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 78 61%
Biochemistry, Genetics and Molecular Biology 19 15%
Medicine and Dentistry 9 7%
Computer Science 9 7%
Unspecified 3 2%
Other 10 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 65. 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 17 May 2013.
All research outputs
#233,990
of 12,732,596 outputs
Outputs from Bioinformatics
#51
of 8,418 outputs
Outputs of similar age
#1,533
of 118,373 outputs
Outputs of similar age from Bioinformatics
#1
of 135 outputs
Altmetric has tracked 12,732,596 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 8,418 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done particularly well, scoring higher than 99% 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 118,373 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 98% of its contemporaries.
We're also able to compare this research output to 135 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 99% of its contemporaries.