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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 8 | 31% |
India | 2 | 8% |
Belgium | 1 | 4% |
France | 1 | 4% |
Brazil | 1 | 4% |
Sri Lanka | 1 | 4% |
Switzerland | 1 | 4% |
Unknown | 11 | 42% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 24 | 92% |
Science communicators (journalists, bloggers, editors) | 1 | 4% |
Scientists | 1 | 4% |
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
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.