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Attention Score in Context
| Title |
Comparing survival curves based on medians
|
|---|---|
| Published in |
BMC Medical Research Methodology, March 2016
|
| DOI | 10.1186/s12874-016-0133-3 |
| Pubmed ID | |
| Authors |
Zhongxue Chen, Guoyi Zhang |
| Abstract |
Although some nonparametric methods have been proposed in the literature to test for the equality of median survival times for censored data in medical research, in general they have inflated type I error rates, which make their use limited in practice, especially when the sample sizes are small. In this paper, we propose a new nonparametric test with a simple test statistic to compare median survival times. The results from our comprehensive simulation study show the new test controls type I error rate very well under all situations considered, even for small sample sizes. In addition, it has comparable detecting power compared to existing methods. Another advantage of the proposed test is its relatively simple formula that requires less computation. We propose a new statistical method for comparing survival curves based on their medians. The new method can be easily implemented and applied to censored event time data. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 67% |
| Japan | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 36% |
| Student > Ph. D. Student | 4 | 18% |
| Student > Postgraduate | 2 | 9% |
| Student > Bachelor | 1 | 5% |
| Professor | 1 | 5% |
| Other | 4 | 18% |
| Unknown | 2 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 41% |
| Mathematics | 4 | 18% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 9% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Social Sciences | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 4 | 18% |
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 04 November 2022.
All research outputs
#14,766,088
of 24,752,377 outputs
Outputs from BMC Medical Research Methodology
#1,410
of 2,202 outputs
Outputs of similar age
#151,807
of 305,865 outputs
Outputs of similar age from BMC Medical Research Methodology
#19
of 33 outputs
Altmetric has tracked 24,752,377 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,202 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 33rd percentile – i.e., 33% 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 305,865 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.