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Radiomics model based on intratumoral and peritumoral features for predicting major pathological response in non-small cell lung cancer receiving neoadjuvant immunochemotherapy

Overview of attention for article published in Frontiers in oncology, March 2024
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Mentioned by

reddit
1 Redditor

Readers on

mendeley
3 Mendeley
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Title
Radiomics model based on intratumoral and peritumoral features for predicting major pathological response in non-small cell lung cancer receiving neoadjuvant immunochemotherapy
Published in
Frontiers in oncology, March 2024
DOI 10.3389/fonc.2024.1348678
Pubmed ID
Authors

Dingpin Huang, Chen Lin, Yangyang Jiang, Enhui Xin, Fangyi Xu, Yi Gan, Rui Xu, Fang Wang, Haiping Zhang, Kaihua Lou, Lei Shi, Hongjie Hu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 33%
Student > Bachelor 1 33%
Unknown 1 33%
Readers by discipline Count As %
Neuroscience 1 33%
Medicine and Dentistry 1 33%
Unknown 1 33%
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 08 April 2024.
All research outputs
#23,434,496
of 26,106,397 outputs
Outputs from Frontiers in oncology
#16,335
of 22,896 outputs
Outputs of similar age
#280,057
of 344,006 outputs
Outputs of similar age from Frontiers in oncology
#500
of 612 outputs
Altmetric has tracked 26,106,397 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 22,896 research outputs from this source. They receive a mean Attention Score of 3.1. 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 344,006 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 612 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.