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An online model composition tool for system biology models

Overview of attention for article published in BMC Systems Biology, September 2013
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Mentioned by

twitter
1 tweeter

Citations

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8 Dimensions

Readers on

mendeley
60 Mendeley
citeulike
2 CiteULike
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Title
An online model composition tool for system biology models
Published in
BMC Systems Biology, September 2013
DOI 10.1186/1752-0509-7-88
Pubmed ID
Authors

Sarp A Coskun, A Ercument Cicek, Nicola Lai, Ranjan K Dash, Z Meral Ozsoyoglu, Gultekin Ozsoyoglu

Abstract

There are multiple representation formats for Systems Biology computational models, and the Systems Biology Markup Language (SBML) is one of the most widely used. SBML is used to capture, store, and distribute computational models by Systems Biology data sources (e.g., the BioModels Database) and researchers. Therefore, there is a need for all-in-one web-based solutions that support advance SBML functionalities such as uploading, editing, composing, visualizing, simulating, querying, and browsing computational models.

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 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 2 3%
Russia 1 2%
Singapore 1 2%
Brazil 1 2%
United States 1 2%
Poland 1 2%
Unknown 53 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 28%
Student > Ph. D. Student 12 20%
Student > Bachelor 7 12%
Student > Master 6 10%
Professor 5 8%
Other 10 17%
Unknown 3 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 38%
Biochemistry, Genetics and Molecular Biology 8 13%
Engineering 6 10%
Computer Science 6 10%
Medicine and Dentistry 3 5%
Other 8 13%
Unknown 6 10%

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 06 September 2013.
All research outputs
#3,069,351
of 4,507,280 outputs
Outputs from BMC Systems Biology
#426
of 670 outputs
Outputs of similar age
#64,044
of 94,301 outputs
Outputs of similar age from BMC Systems Biology
#14
of 19 outputs
Altmetric has tracked 4,507,280 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 670 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
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We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.