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A robust ensemble deep learning framework for accurate diagnoses of tuberculosis from chest radiographs

Overview of attention for article published in Frontiers in Medicine, July 2024
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Title
A robust ensemble deep learning framework for accurate diagnoses of tuberculosis from chest radiographs
Published in
Frontiers in Medicine, July 2024
DOI 10.3389/fmed.2024.1391184
Pubmed ID
Authors

Xin Sun, Zhiheng Xing, Zhen Wan, Wenlong Ding, Li Wang, Lingshan Zhong, Xinran Zhou, Xiu-Jun Gong, Yonghui Li, Xiao-Dong 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 27 July 2024.
All research outputs
#23,836,255
of 26,530,858 outputs
Outputs from Frontiers in Medicine
#6,730
of 7,639 outputs
Outputs of similar age
#187,784
of 239,634 outputs
Outputs of similar age from Frontiers in Medicine
#95
of 178 outputs
Altmetric has tracked 26,530,858 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 7,639 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. 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 239,634 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 178 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.