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Endophenotypes in psychiatric disease: prospects and challenges

Overview of attention for article published in Genome Medicine, February 2018
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Title
Endophenotypes in psychiatric disease: prospects and challenges
Published in
Genome Medicine, February 2018
DOI 10.1186/s13073-018-0526-5
Pubmed ID
Authors

William G. Iacono

Abstract

Endophenotypes, quantitative neurobehavioral traits that index genetic susceptibility for a psychiatric disorder, have been examined in thousands of studies. Nevertheless, they have underexploited potential to provide etiological insights into prognosis, how psychopathology develops, the etiology of comorbidity, and the mechanisms of gene function.

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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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 91 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 15%
Researcher 9 10%
Student > Master 8 9%
Student > Bachelor 8 9%
Student > Doctoral Student 7 8%
Other 16 18%
Unknown 29 32%
Readers by discipline Count As %
Neuroscience 18 20%
Psychology 11 12%
Biochemistry, Genetics and Molecular Biology 10 11%
Medicine and Dentistry 4 4%
Agricultural and Biological Sciences 3 3%
Other 14 15%
Unknown 31 34%
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 10 March 2018.
All research outputs
#15,494,712
of 23,026,672 outputs
Outputs from Genome Medicine
#1,325
of 1,448 outputs
Outputs of similar age
#211,324
of 330,912 outputs
Outputs of similar age from Genome Medicine
#23
of 23 outputs
Altmetric has tracked 23,026,672 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,448 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.8. This one is in the 5th percentile – i.e., 5% 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 330,912 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.