↓ Skip to main content

A multi-branch network to detect post-operative complications following hip arthroplasty on X-ray images

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, September 2023
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
3 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
A multi-branch network to detect post-operative complications following hip arthroplasty on X-ray images
Published in
Frontiers in Bioengineering and Biotechnology, September 2023
DOI 10.3389/fbioe.2023.1239637
Pubmed ID
Authors

Sijia Guo, Jiping Zhang, Huiwu Li, Jingwei Zhang, Cheng-Kung Cheng

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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 September 2023.
All research outputs
#21,975,491
of 24,518,979 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#5,172
of 7,910 outputs
Outputs of similar age
#133,009
of 164,540 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#47
of 202 outputs
Altmetric has tracked 24,518,979 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,910 research outputs from this source. They receive a mean Attention Score of 3.6. 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 164,540 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 202 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.