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iPSC model of CHRFAM7A effect on α7 nicotinic acetylcholine receptor function in the human context

Overview of attention for article published in Translational Psychiatry, February 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
8 news outlets
blogs
2 blogs
twitter
7 tweeters

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
21 Mendeley
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Title
iPSC model of CHRFAM7A effect on α7 nicotinic acetylcholine receptor function in the human context
Published in
Translational Psychiatry, February 2019
DOI 10.1038/s41398-019-0375-z
Pubmed ID
Authors

Ivanna Ihnatovych, Tapan K. Nayak, Aya Ouf, Norbert Sule, Barbara Birkaya, Lee Chaves, Anthony Auerbach, Kinga Szigeti

Twitter Demographics

The data shown below were collected from the profiles of 7 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 24%
Researcher 4 19%
Student > Master 2 10%
Professor 2 10%
Librarian 1 5%
Other 4 19%
Unknown 3 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 19%
Biochemistry, Genetics and Molecular Biology 3 14%
Neuroscience 3 14%
Pharmacology, Toxicology and Pharmaceutical Science 2 10%
Medicine and Dentistry 2 10%
Other 3 14%
Unknown 4 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 79. 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 16 October 2020.
All research outputs
#322,826
of 17,436,984 outputs
Outputs from Translational Psychiatry
#149
of 2,353 outputs
Outputs of similar age
#9,732
of 346,032 outputs
Outputs of similar age from Translational Psychiatry
#2
of 10 outputs
Altmetric has tracked 17,436,984 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,353 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.9. This one has done particularly well, scoring higher than 93% 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 346,032 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.