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Using human pluripotent stem cell models to study autism in the era of big data

Overview of attention for article published in Molecular Autism, March 2020
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)

Mentioned by

twitter
8 tweeters

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
44 Mendeley
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Title
Using human pluripotent stem cell models to study autism in the era of big data
Published in
Molecular Autism, March 2020
DOI 10.1186/s13229-020-00322-9
Pubmed ID
Authors

Ralda Nehme, Lindy E. Barrett

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 20%
Student > Ph. D. Student 6 14%
Student > Bachelor 5 11%
Student > Doctoral Student 4 9%
Researcher 4 9%
Other 7 16%
Unknown 9 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 27%
Neuroscience 11 25%
Psychology 6 14%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Business, Management and Accounting 1 2%
Other 4 9%
Unknown 9 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 18 April 2022.
All research outputs
#5,854,995
of 21,596,161 outputs
Outputs from Molecular Autism
#417
of 648 outputs
Outputs of similar age
#100,912
of 293,152 outputs
Outputs of similar age from Molecular Autism
#1
of 1 outputs
Altmetric has tracked 21,596,161 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 648 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.6. This one is in the 35th percentile – i.e., 35% 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 293,152 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them