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Genetic influence alters the brain synchronism in perception and timing

Overview of attention for article published in Journal of Biomedical Science, August 2018
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2 tweeters

Citations

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4 Dimensions

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19 Mendeley
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Title
Genetic influence alters the brain synchronism in perception and timing
Published in
Journal of Biomedical Science, August 2018
DOI 10.1186/s12929-018-0463-z
Pubmed ID
Authors

Victor Marinho, Thomaz Oliveira, Juliete Bandeira, Giovanny R. Pinto, Anderson Gomes, Valéria Lima, Francisco Magalhães, Kaline Rocha, Carla Ayres, Valécia Carvalho, Bruna Velasques, Pedro Ribeiro, Marco Orsini, Victor Hugo Bastos, Daya Gupta, Silmar Teixeira

Abstract

Studies at the molecular level aim to integrate genetic and neurobiological data to provide an increasingly detailed understanding of phenotypes related to the ability in time perception. This study suggests that the polymorphisms genetic SLC6A4 5-HTTLPR, 5HTR2A T102C, DRD2/ANKK1-Taq1A, SLC6A3 3'-UTR VNTR, COMT Val158Met, CLOCK genes and GABRB2 A/C as modification factor at neurochemical levels associated with several neurofunctional aspects, modifying the circadian rhythm and built-in cognitive functions in the timing. We conducted a literature review with 102 studies that met inclusion criteria to synthesize findings on genetic polymorphisms and their influence on the timing. The findings suggest an association of genetic polymorphisms on behavioral aspects related in timing. However, order to confirm the paradigm of association in the timing as a function of the molecular level, still need to be addressed future research.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 4 21%
Student > Ph. D. Student 2 11%
Researcher 2 11%
Student > Doctoral Student 1 5%
Professor 1 5%
Other 3 16%
Unknown 6 32%
Readers by discipline Count As %
Unspecified 4 21%
Agricultural and Biological Sciences 2 11%
Neuroscience 2 11%
Medicine and Dentistry 2 11%
Psychology 2 11%
Other 1 5%
Unknown 6 32%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 11 August 2018.
All research outputs
#8,313,987
of 13,804,624 outputs
Outputs from Journal of Biomedical Science
#430
of 677 outputs
Outputs of similar age
#152,099
of 271,903 outputs
Outputs of similar age from Journal of Biomedical Science
#1
of 1 outputs
Altmetric has tracked 13,804,624 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 677 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 33rd percentile – i.e., 33% 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 271,903 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
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