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Model-Based Residual Post-Processing for Residual Model Identification

Overview of attention for article published in The AAPS Journal, July 2018
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

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2 X users

Citations

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6 Dimensions

Readers on

mendeley
33 Mendeley
Title
Model-Based Residual Post-Processing for Residual Model Identification
Published in
The AAPS Journal, July 2018
DOI 10.1208/s12248-018-0240-7
Pubmed ID
Authors

Moustafa M. A. Ibrahim, Rikard Nordgren, Maria C. Kjellsson, Mats O. Karlsson

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 30%
Researcher 6 18%
Student > Master 3 9%
Student > Doctoral Student 2 6%
Professor 1 3%
Other 2 6%
Unknown 9 27%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 15 45%
Medicine and Dentistry 4 12%
Biochemistry, Genetics and Molecular Biology 1 3%
Agricultural and Biological Sciences 1 3%
Mathematics 1 3%
Other 2 6%
Unknown 9 27%
Attention Score in Context

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 02 December 2018.
All research outputs
#14,897,336
of 23,114,117 outputs
Outputs from The AAPS Journal
#864
of 1,297 outputs
Outputs of similar age
#195,956
of 327,979 outputs
Outputs of similar age from The AAPS Journal
#10
of 14 outputs
Altmetric has tracked 23,114,117 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,297 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 32nd percentile – i.e., 32% 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 327,979 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.