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Deep learning-assisted diagnosis of benign and malignant parotid gland tumors based on automatic segmentation of ultrasound images: a multicenter retrospective study

Overview of attention for article published in Frontiers in oncology, August 2024
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Title
Deep learning-assisted diagnosis of benign and malignant parotid gland tumors based on automatic segmentation of ultrasound images: a multicenter retrospective study
Published in
Frontiers in oncology, August 2024
DOI 10.3389/fonc.2024.1417330
Pubmed ID
Authors

Wei Wei, Jingya Xu, Fei Xia, Jun Liu, Zekai Zhang, Jing Wu, Tianjun Wei, Huijun Feng, Qiang Ma, Feng Jiang, Xiangming Zhu, Xia 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 09 August 2024.
All research outputs
#23,865,416
of 26,563,746 outputs
Outputs from Frontiers in oncology
#16,892
of 23,291 outputs
Outputs of similar age
#164,790
of 211,039 outputs
Outputs of similar age from Frontiers in oncology
#86
of 333 outputs
Altmetric has tracked 26,563,746 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 23,291 research outputs from this source. They receive a mean Attention Score of 3.0. 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 211,039 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 333 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.