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Decision tree–based classifier in providing telehealth service

Overview of attention for article published in BMC Medical Informatics and Decision Making, May 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user
patent
1 patent

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
97 Mendeley
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Title
Decision tree–based classifier in providing telehealth service
Published in
BMC Medical Informatics and Decision Making, May 2019
DOI 10.1186/s12911-019-0825-9
Pubmed ID
Authors

Ching-Chin Chern, Yu-Jen Chen, Bo Hsiao

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

Geographical breakdown

Country Count As %
Unknown 97 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 14 14%
Student > Master 8 8%
Student > Ph. D. Student 6 6%
Researcher 5 5%
Student > Doctoral Student 4 4%
Other 13 13%
Unknown 47 48%
Readers by discipline Count As %
Computer Science 15 15%
Medicine and Dentistry 11 11%
Engineering 6 6%
Nursing and Health Professions 4 4%
Psychology 2 2%
Other 11 11%
Unknown 48 49%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 20 January 2022.
All research outputs
#7,416,773
of 23,943,619 outputs
Outputs from BMC Medical Informatics and Decision Making
#715
of 2,052 outputs
Outputs of similar age
#129,370
of 353,153 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#18
of 33 outputs
Altmetric has tracked 23,943,619 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 2,052 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 64% 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 353,153 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.