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Application and challenges of a metaverse in medicine

Overview of attention for article published in Frontiers in Robotics and AI, December 2023
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Mentioned by

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1 X user

Citations

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1 Dimensions

Readers on

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20 Mendeley
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Title
Application and challenges of a metaverse in medicine
Published in
Frontiers in Robotics and AI, December 2023
DOI 10.3389/frobt.2023.1291199
Pubmed ID
Authors

Yingshu Wang, Congcong Li, Lai Qu, Hongfei Cai, Yingying Ge

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

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer > Senior Lecturer 2 10%
Lecturer 2 10%
Student > Ph. D. Student 2 10%
Other 1 5%
Researcher 1 5%
Other 2 10%
Unknown 10 50%
Readers by discipline Count As %
Computer Science 3 15%
Medicine and Dentistry 2 10%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Physics and Astronomy 1 5%
Unspecified 1 5%
Other 0 0%
Unknown 12 60%
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 11 December 2023.
All research outputs
#20,317,161
of 24,978,429 outputs
Outputs from Frontiers in Robotics and AI
#1,409
of 1,711 outputs
Outputs of similar age
#117,886
of 173,162 outputs
Outputs of similar age from Frontiers in Robotics and AI
#13
of 34 outputs
Altmetric has tracked 24,978,429 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,711 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one is in the 1st percentile – i.e., 1% 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 173,162 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.