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Correcting intervertebral rotation and scoliosis simultaneously by oblique lumbar interbody fusion: a 3D analysis of EOS images

Overview of attention for article published in Frontiers in Surgery, June 2023
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Title
Correcting intervertebral rotation and scoliosis simultaneously by oblique lumbar interbody fusion: a 3D analysis of EOS images
Published in
Frontiers in Surgery, June 2023
DOI 10.3389/fsurg.2023.1145059
Pubmed ID
Authors

Zhongning Xu, Tenghui Ge, Qingyun Li, Ronghui Cai, Jingye Wu, Yuqing Sun

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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 28 June 2023.
All research outputs
#20,383,740
of 25,054,594 outputs
Outputs from Frontiers in Surgery
#1,144
of 3,841 outputs
Outputs of similar age
#267,444
of 366,491 outputs
Outputs of similar age from Frontiers in Surgery
#44
of 195 outputs
Altmetric has tracked 25,054,594 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 3,841 research outputs from this source. They receive a mean Attention Score of 2.3. This one is in the 41st percentile – i.e., 41% 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 366,491 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 195 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.