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3D printing-based Ganz approach for treatment of femoral head fractures: a prospective analysis

Overview of attention for article published in Journal of Orthopaedic Surgery and Research, October 2019
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Mentioned by

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1 X user

Citations

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24 Dimensions

Readers on

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40 Mendeley
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Title
3D printing-based Ganz approach for treatment of femoral head fractures: a prospective analysis
Published in
Journal of Orthopaedic Surgery and Research, October 2019
DOI 10.1186/s13018-019-1383-7
Pubmed ID
Authors

Jinwu Wang, Leyi Cai, Linzhen Xie, Hua Chen, Xiaoshan Guo, Kehe Yu

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

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 13%
Researcher 4 10%
Student > Doctoral Student 3 8%
Other 3 8%
Student > Postgraduate 3 8%
Other 5 13%
Unknown 17 43%
Readers by discipline Count As %
Medicine and Dentistry 13 33%
Nursing and Health Professions 2 5%
Engineering 2 5%
Social Sciences 1 3%
Neuroscience 1 3%
Other 1 3%
Unknown 20 50%
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 22 May 2020.
All research outputs
#18,724,612
of 23,208,901 outputs
Outputs from Journal of Orthopaedic Surgery and Research
#977
of 1,418 outputs
Outputs of similar age
#271,383
of 362,901 outputs
Outputs of similar age from Journal of Orthopaedic Surgery and Research
#25
of 38 outputs
Altmetric has tracked 23,208,901 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 1,418 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 15th percentile – i.e., 15% 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 362,901 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 38 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.