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Attention Score in Context
Title |
Precision lung cancer screening from CT scans using a VGG16-based convolutional neural network
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Published in |
Frontiers in oncology, August 2024
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DOI | 10.3389/fonc.2024.1424546 |
Pubmed ID | |
Authors |
Hua Xu, Yuanyuan Yu, Jie Chang, Xifeng Hu, Zitong Tian, Ouwen Li |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Scientists | 1 | 100% |
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 20 August 2024.
All research outputs
#21,673,216
of 26,609,881 outputs
Outputs from Frontiers in oncology
#11,992
of 23,367 outputs
Outputs of similar age
#128,216
of 199,643 outputs
Outputs of similar age from Frontiers in oncology
#56
of 387 outputs
Altmetric has tracked 26,609,881 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 23,367 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 27th percentile – i.e., 27% 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 199,643 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 387 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.