↓ Skip to main content

A preliminary study on the application of deep learning methods based on convolutional network to the pathological diagnosis of PJI

Overview of attention for article published in Arthroplasty, October 2022
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
13 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 preliminary study on the application of deep learning methods based on convolutional network to the pathological diagnosis of PJI
Published in
Arthroplasty, October 2022
DOI 10.1186/s42836-022-00145-4
Pubmed ID
Authors

Ye Tao, Hanwen Hu, Jie Li, Mengting Li, Qingyuan Zheng, Guoqiang Zhang, Ming Ni

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

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 11 85%
Unknown 2 15%
Readers by discipline Count As %
Unspecified 11 85%
Unknown 2 15%
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 19 October 2022.
All research outputs
#19,000,862
of 23,555,482 outputs
Outputs from Arthroplasty
#81
of 119 outputs
Outputs of similar age
#306,883
of 441,955 outputs
Outputs of similar age from Arthroplasty
#11
of 14 outputs
Altmetric has tracked 23,555,482 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 119 research outputs from this source. They receive a mean Attention Score of 1.7. This one is in the 2nd percentile – i.e., 2% 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 441,955 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 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.