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GeneDig: a web application for accessing genomic and bioinformatics knowledge

Overview of attention for article published in BMC Bioinformatics, February 2015
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

blogs
1 blog
twitter
23 X users
weibo
1 weibo user
facebook
2 Facebook pages

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
65 Mendeley
citeulike
1 CiteULike
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Title
GeneDig: a web application for accessing genomic and bioinformatics knowledge
Published in
BMC Bioinformatics, February 2015
DOI 10.1186/s12859-015-0497-0
Pubmed ID
Authors

Radu M Suciu, Emir Aydin, Brian E Chen

Abstract

With the exponential increase and widespread availability of genomic, transcriptomic, and proteomic data, accessing these '-omics' data is becoming increasingly difficult. The current resources for accessing and analyzing these data have been created to perform highly specific functions intended for specialists, and thus typically emphasize functionality over user experience. We have developed a web-based application, GeneDig.org, that allows any general user access to genomic information with ease and efficiency. GeneDig allows for searching and browsing genes and genomes, while a dynamic navigator displays genomic, RNA, and protein information simultaneously for co-navigation. We demonstrate that our application allows more than five times faster and efficient access to genomic information than any currently available methods. We have developed GeneDig as a platform for bioinformatics integration focused on usability as its central design. This platform will introduce genomic navigation to broader audiences while aiding the bioinformatics analyses performed in everyday biology research.

X Demographics

X Demographics

The data shown below were collected from the profiles of 23 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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 3%
Brazil 1 2%
Singapore 1 2%
Spain 1 2%
Japan 1 2%
United States 1 2%
Unknown 58 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 45%
Student > Ph. D. Student 14 22%
Student > Bachelor 5 8%
Professor > Associate Professor 4 6%
Student > Master 4 6%
Other 6 9%
Unknown 3 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 43%
Computer Science 9 14%
Biochemistry, Genetics and Molecular Biology 8 12%
Medicine and Dentistry 3 5%
Neuroscience 2 3%
Other 7 11%
Unknown 8 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 24 April 2015.
All research outputs
#1,440,085
of 24,266,964 outputs
Outputs from BMC Bioinformatics
#215
of 7,510 outputs
Outputs of similar age
#18,412
of 259,887 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 139 outputs
Altmetric has tracked 24,266,964 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,510 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 97% 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 259,887 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 92% of its contemporaries.
We're also able to compare this research output to 139 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.