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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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Salivary Metabolites in Mobile Phone Addicts with Sleep Disorders and Therapeutic Markers of Acupuncture Intervention

Authors: Yang, Hong;

Salivary Metabolites in Mobile Phone Addicts with Sleep Disorders and Therapeutic Markers of Acupuncture Intervention

Abstract

Mobile phone addiction (MPA) is a novel behavioral addiction causing diurnal rhythm disorders that severely affect mental and physical health. This work aims to detect rhythmic salivary metabolites in MPA with sleep disorder (MPASD) subjects and probe therapeutic markers for acupuncture intervention. The salivary samples of MPASD and healthy controls were collected at 4 h intervals for three days. Then, MPASD subjects received acupuncture intervention for 7 days, and circadian saliva samples were collected. LC-MS analyzed salivary metabolomes.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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