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Application of 3D modeling and fusion technology of medical image data in image teaching

Overview of attention for article published in BMC Medical Education, April 2021
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
42 Mendeley
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Title
Application of 3D modeling and fusion technology of medical image data in image teaching
Published in
BMC Medical Education, April 2021
DOI 10.1186/s12909-021-02620-z
Pubmed ID
Authors

Quan Yuan, Xiaomei Chen, Jian Zhai, Yadi Chen, Qingxiang Liu, Zhongxiao Tan, Gao Chen, Kangle Zhuang, Jianying Zhang, Xi Xu, Di Qiang, Xuefei Shao

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 3 7%
Student > Ph. D. Student 3 7%
Researcher 2 5%
Student > Master 2 5%
Student > Bachelor 2 5%
Other 3 7%
Unknown 27 64%
Readers by discipline Count As %
Nursing and Health Professions 4 10%
Computer Science 3 7%
Medicine and Dentistry 3 7%
Biochemistry, Genetics and Molecular Biology 1 2%
Unspecified 1 2%
Other 4 10%
Unknown 26 62%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 26 April 2021.
All research outputs
#16,183,173
of 24,615,420 outputs
Outputs from BMC Medical Education
#2,409
of 3,788 outputs
Outputs of similar age
#253,528
of 432,973 outputs
Outputs of similar age from BMC Medical Education
#62
of 99 outputs
Altmetric has tracked 24,615,420 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,788 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 33rd percentile – i.e., 33% 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 432,973 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 99 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.