↓ Skip to main content

Estimating the cost-effectiveness threshold of advanced non-small cell lung cancer in China using mean opportunity cost and contingent valuation method

Overview of attention for article published in Cost Effectiveness and Resource Allocation, November 2023
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
3 Mendeley
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
Estimating the cost-effectiveness threshold of advanced non-small cell lung cancer in China using mean opportunity cost and contingent valuation method
Published in
Cost Effectiveness and Resource Allocation, November 2023
DOI 10.1186/s12962-023-00487-z
Pubmed ID
Authors

Qian Peng, Yue Yin, Min Liang, Mingye Zhao, Taihang Shao, Yaqian Tang, Zhiqing Mei, Hao Li, Wenxi Tang

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.
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 02 November 2023.
All research outputs
#20,116,786
of 24,733,536 outputs
Outputs from Cost Effectiveness and Resource Allocation
#400
of 492 outputs
Outputs of similar age
#114,697
of 170,423 outputs
Outputs of similar age from Cost Effectiveness and Resource Allocation
#5
of 12 outputs
Altmetric has tracked 24,733,536 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 492 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.1. This one is in the 5th percentile – i.e., 5% 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 170,423 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 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.