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Bayesian Population Model of the Pharmacokinetics of Venetoclax in Combination with Rituximab in Patients with Relapsed/Refractory Chronic Lymphocytic Leukemia: Results from the Phase III MURANO Study

Overview of attention for article published in Clinical Pharmacokinetics, June 2019
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Mentioned by

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1 X user

Citations

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10 Dimensions

Readers on

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35 Mendeley
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Title
Bayesian Population Model of the Pharmacokinetics of Venetoclax in Combination with Rituximab in Patients with Relapsed/Refractory Chronic Lymphocytic Leukemia: Results from the Phase III MURANO Study
Published in
Clinical Pharmacokinetics, June 2019
DOI 10.1007/s40262-019-00788-8
Pubmed ID
Authors

Rong Deng, Leonid Gibiansky, Tong Lu, Priya Agarwal, Hao Ding, Xiaobin Li, Smita Kshirsagar, Dan Lu, Chunze Li, Sandhya Girish, Jue Wang, Michelle Boyer, Kathryn Humphrey, Kevin J. Freise, Ahmed Hamed Salem, John F. Seymour, Arnon P. Kater, Dale Miles

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 14%
Student > Doctoral Student 5 14%
Student > Ph. D. Student 4 11%
Student > Bachelor 2 6%
Other 1 3%
Other 6 17%
Unknown 12 34%
Readers by discipline Count As %
Medicine and Dentistry 7 20%
Pharmacology, Toxicology and Pharmaceutical Science 6 17%
Biochemistry, Genetics and Molecular Biology 4 11%
Agricultural and Biological Sciences 2 6%
Unspecified 1 3%
Other 1 3%
Unknown 14 40%
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 19 June 2019.
All research outputs
#15,685,238
of 23,308,124 outputs
Outputs from Clinical Pharmacokinetics
#1,215
of 1,507 outputs
Outputs of similar age
#216,654
of 352,538 outputs
Outputs of similar age from Clinical Pharmacokinetics
#9
of 20 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,507 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one is in the 13th percentile – i.e., 13% 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 352,538 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.