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An intelligent mobile-enabled expert system for tuberculosis disease diagnosis in real time

Overview of attention for article published in Expert Systems with Applications, December 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
1 blog
twitter
1 X user
patent
1 patent

Citations

dimensions_citation
56 Dimensions

Readers on

mendeley
140 Mendeley
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Title
An intelligent mobile-enabled expert system for tuberculosis disease diagnosis in real time
Published in
Expert Systems with Applications, December 2018
DOI 10.1016/j.eswa.2018.07.014
Authors

Antesar M. Shabut, Marzia Hoque Tania, Khin T. Lwin, Benjamin A. Evans, Nor Azah Yusof, Kamal J. Abu-Hassan, M.A. Hossain

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

Geographical breakdown

Country Count As %
Unknown 140 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 14%
Researcher 13 9%
Student > Ph. D. Student 10 7%
Student > Bachelor 10 7%
Lecturer 8 6%
Other 24 17%
Unknown 55 39%
Readers by discipline Count As %
Computer Science 40 29%
Engineering 16 11%
Chemistry 4 3%
Medicine and Dentistry 3 2%
Unspecified 3 2%
Other 14 10%
Unknown 60 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 03 March 2022.
All research outputs
#3,122,649
of 25,385,509 outputs
Outputs from Expert Systems with Applications
#98
of 4,222 outputs
Outputs of similar age
#67,341
of 445,406 outputs
Outputs of similar age from Expert Systems with Applications
#4
of 51 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,222 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done particularly well, scoring higher than 97% 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 445,406 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 84% of its contemporaries.
We're also able to compare this research output to 51 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 92% of its contemporaries.