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Development of Human in vitro Brain-blood Barrier Model from Induced Pluripotent Stem Cell-derived Endothelial Cells to Predict the in vivo Permeability of Drugs

Overview of attention for article published in Neuroscience Bulletin, May 2019
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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3 X users

Citations

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26 Dimensions

Readers on

mendeley
70 Mendeley
Title
Development of Human in vitro Brain-blood Barrier Model from Induced Pluripotent Stem Cell-derived Endothelial Cells to Predict the in vivo Permeability of Drugs
Published in
Neuroscience Bulletin, May 2019
DOI 10.1007/s12264-019-00384-7
Pubmed ID
Authors

Yuan Li, Xueying Sun, Houfu Liu, Liang Huang, Guofeng Meng, Yu Ding, Wenji Su, Jiaqi Lu, Sophie Gong, Georg C. Terstappen, Ru Zhang, Wandong Zhang

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 16%
Student > Ph. D. Student 11 16%
Student > Bachelor 8 11%
Researcher 8 11%
Student > Postgraduate 3 4%
Other 7 10%
Unknown 22 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 21%
Neuroscience 8 11%
Agricultural and Biological Sciences 6 9%
Pharmacology, Toxicology and Pharmaceutical Science 5 7%
Engineering 3 4%
Other 7 10%
Unknown 26 37%
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 14 May 2019.
All research outputs
#15,572,469
of 23,146,350 outputs
Outputs from Neuroscience Bulletin
#369
of 789 outputs
Outputs of similar age
#217,220
of 350,843 outputs
Outputs of similar age from Neuroscience Bulletin
#10
of 19 outputs
Altmetric has tracked 23,146,350 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 789 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 43rd percentile – i.e., 43% 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 350,843 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.