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iLAP: a workflow-driven software for experimental protocol development, data acquisition and analysis

Overview of attention for article published in BMC Bioinformatics, November 2009
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Mentioned by

patent
1 patent

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
67 Mendeley
citeulike
7 CiteULike
connotea
2 Connotea
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Title
iLAP: a workflow-driven software for experimental protocol development, data acquisition and analysis
Published in
BMC Bioinformatics, November 2009
DOI 10.1186/1471-2105-10-390
Pubmed ID
Authors

Gernot Stocker, Maria Fischer, Dietmar Rieder, Gabriela Bindea, Simon Kainz, Michael Oberstolz, James G McNally, Zlatko Trajanoski

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Brazil 1 1%
Sweden 1 1%
Israel 1 1%
Italy 1 1%
New Zealand 1 1%
Canada 1 1%
Japan 1 1%
Denmark 1 1%
Other 0 0%
Unknown 57 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 43%
Student > Master 7 10%
Other 5 7%
Student > Ph. D. Student 5 7%
Student > Bachelor 5 7%
Other 12 18%
Unknown 4 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 42%
Computer Science 13 19%
Engineering 6 9%
Medicine and Dentistry 4 6%
Biochemistry, Genetics and Molecular Biology 3 4%
Other 10 15%
Unknown 3 4%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 20 November 2014.
All research outputs
#7,475,259
of 22,852,911 outputs
Outputs from BMC Bioinformatics
#3,026
of 7,292 outputs
Outputs of similar age
#48,453
of 165,876 outputs
Outputs of similar age from BMC Bioinformatics
#22
of 50 outputs
Altmetric has tracked 22,852,911 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,292 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% 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 165,876 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.