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An intelligent medical guidance and recommendation model driven by patient-physician communication data

Overview of attention for article published in Frontiers in Public Health, January 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
13 Mendeley
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Title
An intelligent medical guidance and recommendation model driven by patient-physician communication data
Published in
Frontiers in Public Health, January 2023
DOI 10.3389/fpubh.2023.1098206
Pubmed ID
Authors

Jusheng Liu, Chaoran Li, Ye Huang, Jingti Han

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 15%
Unspecified 1 8%
Student > Master 1 8%
Unknown 9 69%
Readers by discipline Count As %
Unspecified 1 8%
Computer Science 1 8%
Agricultural and Biological Sciences 1 8%
Medicine and Dentistry 1 8%
Unknown 9 69%
Attention Score in Context

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 13 February 2023.
All research outputs
#18,836,571
of 23,342,092 outputs
Outputs from Frontiers in Public Health
#6,161
of 10,878 outputs
Outputs of similar age
#271,359
of 401,877 outputs
Outputs of similar age from Frontiers in Public Health
#467
of 1,232 outputs
Altmetric has tracked 23,342,092 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 10,878 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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 401,877 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,232 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.