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Optimization of Three-Level Cervical Hybrid Surgery to Prevent Adjacent Segment Disease: A Finite Element Study

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, March 2020
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2 X users

Citations

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23 Dimensions

Readers on

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36 Mendeley
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Title
Optimization of Three-Level Cervical Hybrid Surgery to Prevent Adjacent Segment Disease: A Finite Element Study
Published in
Frontiers in Bioengineering and Biotechnology, March 2020
DOI 10.3389/fbioe.2020.00154
Pubmed ID
Authors

Chia-En Wong, Hsuan-Teh Hu, Meng-Pu Hsieh, Kuo-Yuan Huang

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

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 22%
Student > Bachelor 6 17%
Student > Ph. D. Student 3 8%
Lecturer 2 6%
Professor 1 3%
Other 3 8%
Unknown 13 36%
Readers by discipline Count As %
Engineering 11 31%
Medicine and Dentistry 6 17%
Linguistics 1 3%
Nursing and Health Professions 1 3%
Sports and Recreations 1 3%
Other 5 14%
Unknown 11 31%
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 04 March 2020.
All research outputs
#18,716,137
of 23,197,711 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#3,484
of 6,883 outputs
Outputs of similar age
#269,443
of 361,340 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#241
of 334 outputs
Altmetric has tracked 23,197,711 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 6,883 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 31st percentile – i.e., 31% 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 361,340 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 334 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.