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Bioclipse 2: A scriptable integration platform for the life sciences

Overview of attention for article published in BMC Bioinformatics, December 2009
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

blogs
2 blogs
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
53 Dimensions

Readers on

mendeley
110 Mendeley
citeulike
18 CiteULike
connotea
1 Connotea
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Title
Bioclipse 2: A scriptable integration platform for the life sciences
Published in
BMC Bioinformatics, December 2009
DOI 10.1186/1471-2105-10-397
Pubmed ID
Authors

Ola Spjuth, Jonathan Alvarsson, Arvid Berg, Martin Eklund, Stefan Kuhn, Carl Mäsak, Gilleain Torrance, Johannes Wagener, Egon L Willighagen, Christoph Steinbeck, Jarl ES Wikberg

Abstract

Contemporary biological research integrates neighboring scientific domains to answer complex questions in fields such as systems biology and drug discovery. This calls for tools that are intuitive to use, yet flexible to adapt to new tasks.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 6%
Germany 6 5%
Netherlands 4 4%
United Kingdom 4 4%
Sweden 4 4%
France 3 3%
Brazil 2 2%
Japan 2 2%
Bulgaria 1 <1%
Other 9 8%
Unknown 68 62%

Demographic breakdown

Readers by professional status Count As %
Researcher 47 43%
Student > Ph. D. Student 24 22%
Professor > Associate Professor 9 8%
Student > Master 9 8%
Professor 6 5%
Other 9 8%
Unknown 6 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 38%
Computer Science 18 16%
Chemistry 14 13%
Biochemistry, Genetics and Molecular Biology 7 6%
Pharmacology, Toxicology and Pharmaceutical Science 5 5%
Other 14 13%
Unknown 10 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 02 March 2023.
All research outputs
#2,053,692
of 24,143,470 outputs
Outputs from BMC Bioinformatics
#493
of 7,506 outputs
Outputs of similar age
#9,386
of 172,291 outputs
Outputs of similar age from BMC Bioinformatics
#7
of 47 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,506 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 done particularly well, scoring higher than 93% 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 172,291 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 94% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.