scholarly article | Q13442814 |
P819 | ADS bibcode | 2018PLoSO..1394290C |
P356 | DOI | 10.1371/JOURNAL.PONE.0194290 |
P932 | PMC publication ID | 5884504 |
P698 | PubMed publication ID | 29617408 |
P50 | author | Lyle H. Ungar | Q16982570 |
Robert D Ashford | Q59707374 | ||
H Andrew Schwartz | Q87390013 | ||
Salvatore Giorgi | Q90659327 | ||
Anneke E K Buffone | Q125342357 | ||
P2093 | author name string | Brenda Curtis | |
Casey Hamilton | |||
Dan Summers | |||
Jessie Hemmons | |||
P2860 | cites work | Religion and alcohol in the U.S. National Alcohol Survey: how important is religion for abstention and drinking? | Q54724081 |
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P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
P6216 | copyright status | copyrighted | Q50423863 |
P433 | issue | 4 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | alcohol consumption | Q2647488 |
X | Q918 | ||
P304 | page(s) | e0194290 | |
P577 | publication date | 2018-04-04 | |
P1433 | published in | PLOS One | Q564954 |
P1476 | title | Can Twitter be used to predict county excessive alcohol consumption rates? | |
P478 | volume | 13 |
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Q57793748 | Identifying substance use risk based on deep neural networks and Instagram social media data |
Q92664369 | Recent Advances in Using Natural Language Processing to Address Public Health Research Questions Using Social Media and ConsumerGenerated Data |
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