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Hair Cortisol in Twins: Heritability and Genetic Overlap with Psychological Variables and Stress-System Genes

Overview of attention for article published in Scientific Reports, November 2017
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
56 Dimensions

Readers on

mendeley
212 Mendeley
citeulike
1 CiteULike
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Title
Hair Cortisol in Twins: Heritability and Genetic Overlap with Psychological Variables and Stress-System Genes
Published in
Scientific Reports, November 2017
DOI 10.1038/s41598-017-11852-3
Pubmed ID
Authors

Liz Rietschel, Fabian Streit, Gu Zhu, Kerrie McAloney, Josef Frank, Baptiste Couvy-Duchesne, Stephanie H. Witt, Tina M. Binz, CORtisolNETwork (CORNET) Consortium, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium (PGC), John McGrath, Ian B. Hickie, Narelle K. Hansell, Margaret J. Wright, Nathan A. Gillespie, Andreas J. Forstner, Thomas G Schulze, Stefan Wüst, Markus M. Nöthen, Markus R. Baumgartner, Brian R. Walker, Andrew A. Crawford, Lucía Colodro-Conde, Sarah E. Medland, Nicholas G. Martin, Marcella Rietschel

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 212 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 212 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 38 18%
Student > Ph. D. Student 27 13%
Professor 24 11%
Student > Master 18 8%
Student > Bachelor 14 7%
Other 38 18%
Unknown 53 25%
Readers by discipline Count As %
Medicine and Dentistry 36 17%
Psychology 32 15%
Biochemistry, Genetics and Molecular Biology 27 13%
Agricultural and Biological Sciences 11 5%
Neuroscience 11 5%
Other 30 14%
Unknown 65 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 03 July 2019.
All research outputs
#14,979,510
of 25,837,817 outputs
Outputs from Scientific Reports
#67,086
of 142,708 outputs
Outputs of similar age
#171,698
of 342,658 outputs
Outputs of similar age from Scientific Reports
#1,961
of 4,422 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 142,708 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.8. This one has gotten more attention than average, scoring higher than 51% 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 342,658 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,422 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 54% of its contemporaries.