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The Importance of Non-neuronal Cell Types in hiPSC-Based Disease Modeling and Drug Screening

Overview of attention for article published in Frontiers in Cell and Developmental Biology, December 2017
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users

Citations

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26 Dimensions

Readers on

mendeley
99 Mendeley
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Title
The Importance of Non-neuronal Cell Types in hiPSC-Based Disease Modeling and Drug Screening
Published in
Frontiers in Cell and Developmental Biology, December 2017
DOI 10.3389/fcell.2017.00117
Pubmed ID
Authors

David M. Gonzalez, Jill Gregory, Kristen J. Brennand

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 99 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 25%
Student > Master 16 16%
Researcher 12 12%
Student > Bachelor 9 9%
Other 6 6%
Other 8 8%
Unknown 23 23%
Readers by discipline Count As %
Neuroscience 22 22%
Agricultural and Biological Sciences 19 19%
Biochemistry, Genetics and Molecular Biology 10 10%
Medicine and Dentistry 8 8%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Other 11 11%
Unknown 26 26%
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 10 January 2018.
All research outputs
#17,363,471
of 26,017,215 outputs
Outputs from Frontiers in Cell and Developmental Biology
#3,919
of 10,582 outputs
Outputs of similar age
#277,076
of 453,694 outputs
Outputs of similar age from Frontiers in Cell and Developmental Biology
#15
of 28 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,582 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 55% 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 453,694 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.