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Using R in Taverna: RShell v1.2

Overview of attention for article published in BMC Research Notes, July 2009
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

twitter
1 X user
patent
3 patents

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
32 Mendeley
citeulike
10 CiteULike
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Title
Using R in Taverna: RShell v1.2
Published in
BMC Research Notes, July 2009
DOI 10.1186/1756-0500-2-138
Pubmed ID
Authors

Ingo Wassink, Han Rauwerda, Pieter BT Neerincx, Paul E van der Vet, Timo M Breit, Jack AM Leunissen, Anton Nijholt

Abstract

R is the statistical language commonly used by many life scientists in (omics) data analysis. At the same time, these complex analyses benefit from a workflow approach, such as used by the open source workflow management system Taverna. However, Taverna had limited support for R, because it supported just a few data types and only a single output. Also, there was no support for graphical output and persistent sessions. Altogether this made using R in Taverna impractical.

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

Geographical breakdown

Country Count As %
United Kingdom 2 6%
Norway 1 3%
Sweden 1 3%
Cuba 1 3%
Egypt 1 3%
United States 1 3%
Unknown 25 78%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 28%
Professor 6 19%
Professor > Associate Professor 5 16%
Student > Ph. D. Student 4 13%
Other 2 6%
Other 4 13%
Unknown 2 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 38%
Computer Science 7 22%
Biochemistry, Genetics and Molecular Biology 4 13%
Medicine and Dentistry 4 13%
Business, Management and Accounting 1 3%
Other 2 6%
Unknown 2 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 18 July 2023.
All research outputs
#7,355,005
of 25,371,288 outputs
Outputs from BMC Research Notes
#1,103
of 4,513 outputs
Outputs of similar age
#37,219
of 122,224 outputs
Outputs of similar age from BMC Research Notes
#10
of 24 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 4,513 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has gotten more attention than average, scoring higher than 74% 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 122,224 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 67% of its contemporaries.
We're also able to compare this research output to 24 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 54% of its contemporaries.