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An improved independent component analysis model for 3D chromatogram separation and its solution by multi-areas genetic algorithm

Overview of attention for article published in BMC Bioinformatics, November 2014
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Mentioned by

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2 X users

Citations

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4 Dimensions

Readers on

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17 Mendeley
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Title
An improved independent component analysis model for 3D chromatogram separation and its solution by multi-areas genetic algorithm
Published in
BMC Bioinformatics, November 2014
DOI 10.1186/1471-2105-15-s12-s8
Authors

Lizhi Cui, Josiah Poon, Simon K Poon, Hao Chen, Junbin Gao, Paul Kwan, Kei Fan, Zhihao Ling

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 12%
Researcher 2 12%
Professor 2 12%
Student > Postgraduate 2 12%
Professor > Associate Professor 1 6%
Other 1 6%
Unknown 7 41%
Readers by discipline Count As %
Computer Science 4 24%
Chemistry 3 18%
Agricultural and Biological Sciences 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Engineering 1 6%
Other 0 0%
Unknown 7 41%
Attention Score in Context

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 14 November 2014.
All research outputs
#17,731,702
of 22,770,070 outputs
Outputs from BMC Bioinformatics
#5,927
of 7,273 outputs
Outputs of similar age
#177,196
of 262,795 outputs
Outputs of similar age from BMC Bioinformatics
#113
of 144 outputs
Altmetric has tracked 22,770,070 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,273 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 13th percentile – i.e., 13% 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 262,795 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 144 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.