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Predictive Efficacy of Blood-Based Tumor Mutation Burden Assay for Immune Checkpoint Inhibitors Therapy in Non-Small Cell Lung Cancer: A Systematic Review and Meta-Analysis

Overview of attention for article published in Frontiers in oncology, February 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

policy
1 policy source
twitter
3 X users

Citations

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8 Dimensions

Readers on

mendeley
13 Mendeley
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Title
Predictive Efficacy of Blood-Based Tumor Mutation Burden Assay for Immune Checkpoint Inhibitors Therapy in Non-Small Cell Lung Cancer: A Systematic Review and Meta-Analysis
Published in
Frontiers in oncology, February 2022
DOI 10.3389/fonc.2022.795933
Pubmed ID
Authors

Nan Zhang, Jinwei Zhang, Guoqing Wang, Xin He, Yin Mi, Ying Cao, Xiaoxu Yu

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 23%
Student > Postgraduate 2 15%
Unspecified 1 8%
Student > Bachelor 1 8%
Librarian 1 8%
Other 2 15%
Unknown 3 23%
Readers by discipline Count As %
Medicine and Dentistry 4 31%
Biochemistry, Genetics and Molecular Biology 2 15%
Nursing and Health Professions 1 8%
Unspecified 1 8%
Computer Science 1 8%
Other 1 8%
Unknown 3 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 November 2023.
All research outputs
#8,075,364
of 26,166,431 outputs
Outputs from Frontiers in oncology
#2,837
of 22,913 outputs
Outputs of similar age
#176,266
of 536,809 outputs
Outputs of similar age from Frontiers in oncology
#175
of 1,458 outputs
Altmetric has tracked 26,166,431 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 22,913 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 87% 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 536,809 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 66% of its contemporaries.
We're also able to compare this research output to 1,458 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.