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The Gaggle: An open-source software system for integrating bioinformatics software and data sources

Overview of attention for article published in BMC Bioinformatics, March 2006
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)

Mentioned by

twitter
1 tweeter
patent
1 patent

Citations

dimensions_citation
127 Dimensions

Readers on

mendeley
229 Mendeley
citeulike
24 CiteULike
connotea
9 Connotea
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Title
The Gaggle: An open-source software system for integrating bioinformatics software and data sources
Published in
BMC Bioinformatics, March 2006
DOI 10.1186/1471-2105-7-176
Pubmed ID
Authors

Paul T Shannon, David J Reiss, Richard Bonneau, Nitin S Baliga

Abstract

Systems biologists work with many kinds of data, from many different sources, using a variety of software tools. Each of these tools typically excels at one type of analysis, such as of microarrays, of metabolic networks and of predicted protein structure. A crucial challenge is to combine the capabilities of these (and other forthcoming) data resources and tools to create a data exploration and analysis environment that does justice to the variety and complexity of systems biology data sets. A solution to this problem should recognize that data types, formats and software in this high throughput age of biology are constantly changing.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 229 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 12 5%
United Kingdom 6 3%
Brazil 4 2%
Germany 3 1%
Canada 3 1%
Sweden 3 1%
France 2 <1%
India 2 <1%
Spain 2 <1%
Other 13 6%
Unknown 179 78%

Demographic breakdown

Readers by professional status Count As %
Researcher 73 32%
Student > Ph. D. Student 43 19%
Student > Master 24 10%
Other 16 7%
Professor > Associate Professor 16 7%
Other 39 17%
Unknown 18 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 120 52%
Computer Science 31 14%
Biochemistry, Genetics and Molecular Biology 23 10%
Medicine and Dentistry 13 6%
Engineering 6 3%
Other 15 7%
Unknown 21 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 19 September 2013.
All research outputs
#6,441,509
of 21,312,573 outputs
Outputs from BMC Bioinformatics
#2,552
of 6,910 outputs
Outputs of similar age
#42,007
of 141,574 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 1 outputs
Altmetric has tracked 21,312,573 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 6,910 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 61% 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 141,574 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 1 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