scholarly article | Q13442814 |
P8978 | DBLP publication ID | conf/bsn/SanoPYMTJCKP15 |
P356 | DOI | 10.1109/BSN.2015.7299420 |
P932 | PMC publication ID | 5431072 |
P698 | PubMed publication ID | 28516162 |
P50 | author | Elizabeth B Klerman | Q88323675 |
P2093 | author name string | Charles A Czeisler | |
Andrew J Phillips | |||
Rosalind W Picard | |||
Andrew W McHill | |||
Sara Taylor | |||
Akane Sano | |||
Natasha Jaques | |||
Amy Z Yu | |||
P2860 | cites work | Mobile phone use and stress, sleep disturbances, and symptoms of depression among young adults--a prospective cohort study | Q21257296 |
The Spread of Obesity in a Large Social Network over 32 Years | Q22248107 | ||
Dynamic spread of happiness in a large social network: longitudinal analysis over 20 years in the Framingham Heart Study | Q24646639 | ||
A self-assessment questionnaire to determine morningness-eveningness in human circadian rhythms | Q28143399 | ||
Evening exposure to a light-emitting diodes (LED)-backlit computer screen affects circadian physiology and cognitive performance | Q28307559 | ||
A global measure of perceived stress | Q29547166 | ||
The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research | Q29547257 | ||
A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity | Q29547290 | ||
The relationship between media use in the bedroom, sleep habits and symptoms of insomnia | Q30399732 | ||
Towards Measuring Stress with Smartphones and Wearable Devices During Workday and Sleep | Q30422690 | ||
Evening use of light-emitting eReaders negatively affects sleep, circadian timing, and next-morning alertness | Q30619462 | ||
Comparison of sleep-wake classification using electroencephalogram and wrist-worn multi-modal sensor data | Q30883357 | ||
Relationship of sleep hygiene awareness, sleep hygiene practices, and sleep quality in university students | Q34150649 | ||
Personality and stress. | Q34362832 | ||
Personality predictors of academic outcomes: big five correlates of GPA and SAT scores | Q34644659 | ||
Quantitative analysis of wrist electrodermal activity during sleep | Q35105320 | ||
Personality correlates with sleep-wake variables | Q38429195 | ||
A meta-analysis of the five-factor model of personality and academic performance. | Q39998215 | ||
The trait of Introversion-Extraversion predicts vulnerability to sleep deprivation | Q46884217 | ||
P577 | publication date | 2015-06-01 | |
P1476 | title | Recognizing Academic Performance, Sleep Quality, Stress Level, and Mental Health using Personality Traits, Wearable Sensors and Mobile Phones | |
P478 | volume | 2015 |
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