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GTI: A Novel Algorithm for Identifying Outlier Gene Expression Profiles from Integrated Microarray Datasets

Overview of attention for article published in PLOS ONE, February 2011
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Mentioned by

patent
1 patent

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
77 Mendeley
citeulike
3 CiteULike
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Title
GTI: A Novel Algorithm for Identifying Outlier Gene Expression Profiles from Integrated Microarray Datasets
Published in
PLOS ONE, February 2011
DOI 10.1371/journal.pone.0017259
Pubmed ID
Authors

John Patrick Mpindi, Henri Sara, Saija Haapa-Paananen, Sami Kilpinen, Tommi Pisto, Elmar Bucher, Kalle Ojala, Kristiina Iljin, Paula Vainio, Mari Björkman, Santosh Gupta, Pekka Kohonen, Matthias Nees, Olli Kallioniemi

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 3%
United States 2 3%
Finland 1 1%
Australia 1 1%
Spain 1 1%
China 1 1%
Unknown 69 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 34%
Student > Ph. D. Student 20 26%
Student > Master 4 5%
Student > Bachelor 3 4%
Lecturer 3 4%
Other 11 14%
Unknown 10 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 32%
Biochemistry, Genetics and Molecular Biology 13 17%
Medicine and Dentistry 11 14%
Computer Science 7 9%
Mathematics 2 3%
Other 7 9%
Unknown 12 16%
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 11 May 2018.
All research outputs
#7,535,755
of 22,992,311 outputs
Outputs from PLOS ONE
#90,145
of 195,987 outputs
Outputs of similar age
#38,977
of 107,145 outputs
Outputs of similar age from PLOS ONE
#649
of 1,306 outputs
Altmetric has tracked 22,992,311 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 195,987 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 49th percentile – i.e., 49% 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 107,145 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,306 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.