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Treatment-Resistant Schizophrenia: Insights From Genetic Studies and Machine Learning Approaches

Overview of attention for article published in Frontiers in Pharmacology, May 2019
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Mentioned by

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3 X users

Citations

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Readers on

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89 Mendeley
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Title
Treatment-Resistant Schizophrenia: Insights From Genetic Studies and Machine Learning Approaches
Published in
Frontiers in Pharmacology, May 2019
DOI 10.3389/fphar.2019.00617
Pubmed ID
Authors

Claudia Pisanu, Alessio Squassina

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 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 89 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 16%
Student > Master 12 13%
Student > Bachelor 12 13%
Student > Ph. D. Student 6 7%
Student > Postgraduate 6 7%
Other 12 13%
Unknown 27 30%
Readers by discipline Count As %
Medicine and Dentistry 13 15%
Biochemistry, Genetics and Molecular Biology 11 12%
Neuroscience 8 9%
Psychology 6 7%
Nursing and Health Professions 5 6%
Other 13 15%
Unknown 33 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 07 June 2019.
All research outputs
#18,022,700
of 23,149,216 outputs
Outputs from Frontiers in Pharmacology
#7,296
of 16,540 outputs
Outputs of similar age
#245,656
of 350,416 outputs
Outputs of similar age from Frontiers in Pharmacology
#227
of 351 outputs
Altmetric has tracked 23,149,216 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 16,540 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 48th percentile – i.e., 48% 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 350,416 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 351 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.