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Prediction of Skin Disease Using Ensemble Data Mining Techniques and Feature Selection Method—a Comparative Study

Overview of attention for article published in Applied Biochemistry and Biotechnology, July 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#37 of 2,711)
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
26 X users

Citations

dimensions_citation
40 Dimensions

Readers on

mendeley
57 Mendeley
Title
Prediction of Skin Disease Using Ensemble Data Mining Techniques and Feature Selection Method—a Comparative Study
Published in
Applied Biochemistry and Biotechnology, July 2019
DOI 10.1007/s12010-019-03093-z
Pubmed ID
Authors

Anurag Kumar Verma, Saurabh Pal, Surjeet Kumar

X Demographics

X Demographics

The data shown below were collected from the profiles of 26 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 5 9%
Researcher 4 7%
Student > Bachelor 4 7%
Student > Master 4 7%
Student > Ph. D. Student 3 5%
Other 7 12%
Unknown 30 53%
Readers by discipline Count As %
Computer Science 17 30%
Engineering 3 5%
Agricultural and Biological Sciences 2 4%
Nursing and Health Professions 1 2%
Mathematics 1 2%
Other 4 7%
Unknown 29 51%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 29 July 2019.
All research outputs
#2,596,392
of 24,998,746 outputs
Outputs from Applied Biochemistry and Biotechnology
#37
of 2,711 outputs
Outputs of similar age
#52,187
of 352,663 outputs
Outputs of similar age from Applied Biochemistry and Biotechnology
#1
of 16 outputs
Altmetric has tracked 24,998,746 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,711 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 98% 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 352,663 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.