↓ Skip to main content

An artificial intelligence-assisted diagnostic system for the prediction of benignity and malignancy of pulmonary nodules and its practical value for patients with different clinical characteristics

Overview of attention for article published in Frontiers in Medicine, December 2023
Altmetric Badge

Mentioned by

twitter
1 X user
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
An artificial intelligence-assisted diagnostic system for the prediction of benignity and malignancy of pulmonary nodules and its practical value for patients with different clinical characteristics
Published in
Frontiers in Medicine, December 2023
DOI 10.3389/fmed.2023.1286433
Pubmed ID
Authors

Lichuan Zhang, Yue Shao, Guangmei Chen, Simiao Tian, Qing Zhang, Jianlin Wu, Chunxue Bai, Dawei Yang

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 31 December 2023.
All research outputs
#20,405,649
of 25,080,471 outputs
Outputs from Frontiers in Medicine
#4,878
of 6,992 outputs
Outputs of similar age
#127,663
of 187,753 outputs
Outputs of similar age from Frontiers in Medicine
#60
of 120 outputs
Altmetric has tracked 25,080,471 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 6,992 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. This one is in the 11th percentile – i.e., 11% 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 187,753 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 120 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.