↓ Skip to main content

Unveiling the landscape of pathomics in personalized immunotherapy for lung cancer: a bibliometric analysis

Overview of attention for article published in Frontiers in oncology, July 2024
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
1 X user
reddit
1 Redditor
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Unveiling the landscape of pathomics in personalized immunotherapy for lung cancer: a bibliometric analysis
Published in
Frontiers in oncology, July 2024
DOI 10.3389/fonc.2024.1432212
Pubmed ID
Authors

Lei Yuan, Zhiming Shen, Yibo Shan, Jianwei Zhu, Qi Wang, Yi Lu, Hongcan Shi

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 05 August 2024.
All research outputs
#17,481,604
of 26,423,535 outputs
Outputs from Frontiers in oncology
#7,003
of 23,133 outputs
Outputs of similar age
#106,179
of 230,930 outputs
Outputs of similar age from Frontiers in oncology
#29
of 232 outputs
Altmetric has tracked 26,423,535 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 23,133 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 64% of its peers.
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 230,930 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 232 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.