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A universal lesion detection method based on partially supervised learning

Overview of attention for article published in Frontiers in Pharmacology, August 2023
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Title
A universal lesion detection method based on partially supervised learning
Published in
Frontiers in Pharmacology, August 2023
DOI 10.3389/fphar.2023.1084155
Pubmed ID
Authors

Xun Wang, Xin Shi, Xiangyu Meng, Zhiyuan Zhang, Chaogang Zhang

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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 01 August 2023.
All research outputs
#21,665,390
of 24,180,797 outputs
Outputs from Frontiers in Pharmacology
#11,505
of 18,047 outputs
Outputs of similar age
#133,273
of 162,863 outputs
Outputs of similar age from Frontiers in Pharmacology
#155
of 301 outputs
Altmetric has tracked 24,180,797 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 18,047 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. 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 162,863 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 301 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.