| Title |
Feature screening for ultrahigh-dimensional survival data when failure indicators are missing at random
|
|---|---|
| Published in |
Statistical Papers, August 2019
|
| DOI | 10.1007/s00362-019-01128-5 |
| Authors |
Jianglin Fang |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 09 September 2019.
All research outputs
#5,848,257
of 23,155,957 outputs
Outputs from Statistical Papers
#8
of 125 outputs
Outputs of similar age
#103,067
of 345,136 outputs
Outputs of similar age from Statistical Papers
#2
of 4 outputs
Altmetric has tracked 23,155,957 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 125 research outputs from this source. They receive a mean Attention Score of 1.9. This one has done particularly well, scoring higher than 92% 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 345,136 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 69% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.