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The Systems Biology Research Tool: evolvable open-source software

Overview of attention for article published in BMC Systems Biology, June 2008
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Mentioned by

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1 X user

Citations

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45 Dimensions

Readers on

mendeley
148 Mendeley
citeulike
11 CiteULike
connotea
4 Connotea
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Title
The Systems Biology Research Tool: evolvable open-source software
Published in
BMC Systems Biology, June 2008
DOI 10.1186/1752-0509-2-55
Pubmed ID
Authors

Jeremiah Wright, Andreas Wagner

Abstract

Research in the field of systems biology requires software for a variety of purposes. Software must be used to store, retrieve, analyze, and sometimes even to collect the data obtained from system-level (often high-throughput) experiments. Software must also be used to implement mathematical models and algorithms required for simulation and theoretical predictions on the system-level.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
United Kingdom 4 3%
India 2 1%
Latvia 2 1%
Switzerland 1 <1%
Italy 1 <1%
Hong Kong 1 <1%
Australia 1 <1%
Sweden 1 <1%
Other 9 6%
Unknown 122 82%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 42 28%
Researcher 31 21%
Student > Master 27 18%
Student > Bachelor 13 9%
Professor > Associate Professor 9 6%
Other 21 14%
Unknown 5 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 78 53%
Computer Science 21 14%
Biochemistry, Genetics and Molecular Biology 12 8%
Engineering 10 7%
Social Sciences 3 2%
Other 17 11%
Unknown 7 5%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 11 November 2012.
All research outputs
#15,256,044
of 22,685,926 outputs
Outputs from BMC Systems Biology
#644
of 1,142 outputs
Outputs of similar age
#69,724
of 82,010 outputs
Outputs of similar age from BMC Systems Biology
#5
of 6 outputs
Altmetric has tracked 22,685,926 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 32nd percentile – i.e., 32% 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 82,010 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.