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Dimensionality reduction and class prediction algorithm with application to microarray Big Data

Overview of attention for article published in Journal of Big Data, October 2017
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
39 Mendeley
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Title
Dimensionality reduction and class prediction algorithm with application to microarray Big Data
Published in
Journal of Big Data, October 2017
DOI 10.1186/s40537-017-0093-4
Authors

Fadoua Badaoui, Amine Amar, Laila Ait Hassou, Abdelhak Zoglat, Cyrille Guei Okou

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

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 21%
Professor 6 15%
Student > Master 4 10%
Researcher 3 8%
Lecturer 2 5%
Other 7 18%
Unknown 9 23%
Readers by discipline Count As %
Computer Science 13 33%
Engineering 5 13%
Business, Management and Accounting 3 8%
Mathematics 3 8%
Physics and Astronomy 1 3%
Other 3 8%
Unknown 11 28%
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 11 October 2017.
All research outputs
#15,481,147
of 23,005,189 outputs
Outputs from Journal of Big Data
#202
of 339 outputs
Outputs of similar age
#202,954
of 324,392 outputs
Outputs of similar age from Journal of Big Data
#7
of 10 outputs
Altmetric has tracked 23,005,189 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 339 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one is in the 25th percentile – i.e., 25% 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 324,392 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 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.