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Automatic Identification of Cigarette Brand Using Near-Infrared Spectroscopy and Sparse Representation Classification Algorithm

Overview of attention for article published in Journal of the Brazilian Chemical Society, January 2018
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Mentioned by

twitter
1 tweeter
facebook
1 Facebook page

Readers on

mendeley
9 Mendeley
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Title
Automatic Identification of Cigarette Brand Using Near-Infrared Spectroscopy and Sparse Representation Classification Algorithm
Published in
Journal of the Brazilian Chemical Society, January 2018
DOI 10.21577/0103-5053.20180019
Authors

Yang Shuangyan, Hou Ying, Yang Lingchun, Zhang Jianqiang, Liu Weijuan, Qiu Changgui, Li Ming, Yang Yanmei

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

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 22%
Student > Ph. D. Student 2 22%
Student > Master 1 11%
Unknown 4 44%
Readers by discipline Count As %
Computer Science 2 22%
Physics and Astronomy 1 11%
Materials Science 1 11%
Engineering 1 11%
Unknown 4 44%

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 06 September 2018.
All research outputs
#17,346,979
of 21,469,099 outputs
Outputs from Journal of the Brazilian Chemical Society
#1
of 1 outputs
Outputs of similar age
#227,895
of 296,863 outputs
Outputs of similar age from Journal of the Brazilian Chemical Society
#1
of 1 outputs
Altmetric has tracked 21,469,099 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 0.0. This one scored the same or higher as 0 of them.
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 296,863 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them