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Yabi: An online research environment for grid, high performance and cloud computing

Overview of attention for article published in Source Code for Biology and Medicine, February 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#13 of 127)
  • High Attention Score compared to outputs of the same age (92nd percentile)

Mentioned by

blogs
1 blog
twitter
9 X users
googleplus
1 Google+ user

Readers on

mendeley
115 Mendeley
citeulike
11 CiteULike
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Article details
Title
Yabi: An online research environment for grid, high performance and cloud computing
Published in
Source Code for Biology and Medicine, February 2012
DOI 10.1186/1751-0473-7-1
Pubmed ID
Authors
Abstract

There is a significant demand for creating pipelines or workflows in the life science discipline that chain a number of discrete compute and data intensive analysis tasks into sophisticated analysis procedures. This need has led to the development of general as well as domain-specific workflow environments that are either complex desktop applications or Internet-based applications. Complexities can arise when configuring these applications in heterogeneous compute and storage environments if the execution and data access models are not designed appropriately. These complexities manifest themselves through limited access to available HPC resources, significant overhead required to configure tools and inability for users to simply manage files across heterogenous HPC storage infrastructure.

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 7 6%
United Kingdom 5 4%
Sweden 3 3%
New Zealand 2 2%
Netherlands 2 2%
Germany 2 2%
Australia 2 2%
Philippines 1 <1%
Luxembourg 1 <1%
Other 3 3%
Unknown 87 76%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 41 36%
Student > Ph. D. Student 20 17%
Other 9 8%
Professor > Associate Professor 9 8%
Student > Master 7 6%
Other 18 16%
Unknown 11 10%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 47 41%
Computer Science 31 27%
Engineering 6 5%
Biochemistry, Genetics and Molecular Biology 3 3%
Chemistry 3 3%
Other 11 10%
Unknown 14 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 01 November 2013.
All research outputs
#2,936,881
of 29,803,429 outputs
Outputs from Source Code for Biology and Medicine
#13
of 127 outputs
Outputs of similar age
#20,256
of 276,496 outputs
Outputs of similar age from Source Code for Biology and Medicine
#1
of 1 outputs
Altmetric has tracked 29,803,429 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 127 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done well, scoring higher than 89% 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 276,496 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 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