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Developing Enhanced Blood–Brain Barrier Permeability Models: Integrating External Bio-Assay Data in QSAR Modeling

Overview of attention for article published in Pharmaceutical Research, April 2015
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1 X user

Citations

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73 Dimensions

Readers on

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85 Mendeley
Title
Developing Enhanced Blood–Brain Barrier Permeability Models: Integrating External Bio-Assay Data in QSAR Modeling
Published in
Pharmaceutical Research, April 2015
DOI 10.1007/s11095-015-1687-1
Pubmed ID
Authors

Wenyi Wang, Marlene T. Kim, Alexander Sedykh, Hao Zhu

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 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 1%
Unknown 84 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 24%
Student > Ph. D. Student 11 13%
Professor > Associate Professor 7 8%
Student > Bachelor 7 8%
Student > Doctoral Student 4 5%
Other 14 16%
Unknown 22 26%
Readers by discipline Count As %
Chemistry 12 14%
Pharmacology, Toxicology and Pharmaceutical Science 11 13%
Biochemistry, Genetics and Molecular Biology 10 12%
Agricultural and Biological Sciences 8 9%
Engineering 5 6%
Other 15 18%
Unknown 24 28%
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 12 April 2015.
All research outputs
#23,391,126
of 26,017,215 outputs
Outputs from Pharmaceutical Research
#2,907
of 3,104 outputs
Outputs of similar age
#243,633
of 282,851 outputs
Outputs of similar age from Pharmaceutical Research
#24
of 27 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,104 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 1st percentile – i.e., 1% 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 282,851 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.