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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 (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
3 X users
patent
1 patent

Citations

dimensions_citation
128 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 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%
Spain 2 <1%
Japan 2 <1%
Other 12 5%
Unknown 180 79%

Demographic breakdown

Readers by professional status Count As %
Researcher 72 31%
Student > Ph. D. Student 43 19%
Student > Master 24 10%
Other 16 7%
Professor > Associate Professor 16 7%
Other 40 17%
Unknown 18 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 120 52%
Computer Science 32 14%
Biochemistry, Genetics and Molecular Biology 22 10%
Medicine and Dentistry 13 6%
Engineering 6 3%
Other 15 7%
Unknown 21 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 13 March 2024.
All research outputs
#6,407,067
of 25,478,886 outputs
Outputs from BMC Bioinformatics
#2,134
of 7,706 outputs
Outputs of similar age
#24,112
of 85,431 outputs
Outputs of similar age from BMC Bioinformatics
#23
of 56 outputs
Altmetric has tracked 25,478,886 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 7,706 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 gotten more attention than average, scoring higher than 71% 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 85,431 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 71% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.