↓ Skip to main content

Exploring the mechanisms underlying excitation/inhibition imbalance in human iPSC-derived models of ASD

Overview of attention for article published in Molecular Autism, May 2020
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

twitter
11 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
134 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Exploring the mechanisms underlying excitation/inhibition imbalance in human iPSC-derived models of ASD
Published in
Molecular Autism, May 2020
DOI 10.1186/s13229-020-00339-0
Pubmed ID
Authors

Lorenza Culotta, Peter Penzes

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 134 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 22%
Student > Master 17 13%
Student > Bachelor 14 10%
Researcher 12 9%
Student > Doctoral Student 6 4%
Other 10 7%
Unknown 46 34%
Readers by discipline Count As %
Neuroscience 38 28%
Biochemistry, Genetics and Molecular Biology 14 10%
Psychology 12 9%
Medicine and Dentistry 6 4%
Agricultural and Biological Sciences 5 4%
Other 11 8%
Unknown 48 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 17 November 2022.
All research outputs
#2,870,834
of 23,130,383 outputs
Outputs from Molecular Autism
#277
of 675 outputs
Outputs of similar age
#74,041
of 385,183 outputs
Outputs of similar age from Molecular Autism
#14
of 33 outputs
Altmetric has tracked 23,130,383 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 675 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.1. This one has gotten more attention than average, scoring higher than 58% 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 385,183 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.