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Application of estimand framework in ICH E9 (R1) to safety evaluation

Overview of attention for article published in Journal of Biopharmaceutical Statistics, March 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

twitter
5 X users

Citations

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2 Dimensions

Readers on

mendeley
3 Mendeley
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Title
Application of estimand framework in ICH E9 (R1) to safety evaluation
Published in
Journal of Biopharmaceutical Statistics, March 2023
DOI 10.1080/10543406.2023.2189452
Pubmed ID
Authors

Xuelong Wang, Ping Yang, Shuai S Yuan, William W.B. Wang

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 67%
Other 1 33%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 1 33%
Mathematics 1 33%
Medicine and Dentistry 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 12 April 2023.
All research outputs
#14,046,334
of 24,589,002 outputs
Outputs from Journal of Biopharmaceutical Statistics
#128
of 375 outputs
Outputs of similar age
#161,939
of 406,320 outputs
Outputs of similar age from Journal of Biopharmaceutical Statistics
#2
of 10 outputs
Altmetric has tracked 24,589,002 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 375 research outputs from this source. They receive a mean Attention Score of 2.2. This one has gotten more attention than average, scoring higher than 65% 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 406,320 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 59% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.