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Using R in Taverna: RShell v1.2

Overview of attention for article published in BMC Research Notes, January 2009
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Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
7 Dimensions

Readers on

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

Ingo Wassink, Han Rauwerda, Pieter BT Neerincx, Paul E 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.

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 33 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 26 79%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 30%
Professor 6 18%
Professor > Associate Professor 5 15%
Student > Ph. D. Student 4 12%
Other 2 6%
Other 4 12%
Unknown 2 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 39%
Computer Science 7 21%
Biochemistry, Genetics and Molecular Biology 4 12%
Medicine and Dentistry 4 12%
Business, Management and Accounting 1 3%
Other 2 6%
Unknown 2 6%

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 26 January 2012.
All research outputs
#7,855,321
of 12,519,627 outputs
Outputs from BMC Research Notes
#1,419
of 2,804 outputs
Outputs of similar age
#114,432
of 218,071 outputs
Outputs of similar age from BMC Research Notes
#116
of 232 outputs
Altmetric has tracked 12,519,627 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,804 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 36th percentile – i.e., 36% 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 218,071 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 232 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.