-
1
-
-
84947918869
-
Crowdsourcing Twitter annotations to identify first-hand experi- ences of prescription drug use
-
Alvaro, N., Conway, M., Doan, S., Lofi, C., Overington, J., & Collier, N. (2015). Crowdsourcing Twitter annotations to identify first-hand experi- ences of prescription drug use. Journal of Biomedical Informatics, 58, 280–287. doi:10.1016/j.jbi.2015.11.004
-
(2015)
Journal of Biomedical Informatics
, vol.58
, pp. 280-287
-
-
Alvaro, N.1
Conway, M.2
Doan, S.3
Lofi, C.4
Overington, J.5
Collier, N.6
-
2
-
-
84921515749
-
Twitter chatter about marijuana
-
Cavazos-Rehg, P. A., Krauss, M., Fisher, S. L., Salyer, P., Grucza, R. A., & Bierut, L. J. (2015a). Twitter chatter about marijuana. Journal of Adolescent Health, 56, 139–145. doi:10.1016/j.jadohealth.2014.10.270
-
(2015)
Journal of Adolescent Health
, vol.56
, pp. 139-145
-
-
Cavazos-Rehg, P.A.1
Krauss, M.2
Fisher, S.L.3
Salyer, P.4
Grucza, R.A.5
Bierut, L.J.6
-
3
-
-
84939204915
-
“Hey everyone, I’m drunk.” An evaluation of drinking-related Twitter chatter
-
Cavazos-Rehg, P. A., Krauss, M. J., Sowles, S. J., & Bierut, L. J. (2015b). “Hey everyone, I’m drunk.” An evaluation of drinking-related Twitter chatter. Journal of Studies on Alcohol and Drugs, 76, 635–643. doi:10.15288/jsad.2015.76.635
-
(2015)
Journal of Studies on Alcohol and Drugs
, vol.76
, pp. 635-643
-
-
Cavazos-Rehg, P.A.1
Krauss, M.J.2
Sowles, S.J.3
Bierut, L.J.4
-
4
-
-
84969256383
-
Capturing heterogeneity in medical marijuana policies: A taxonomy of regulatory regimes across the United States
-
Chapman, S. A., Spetz, J., Lin, J., Chan, K., & Schmidt, L. A. (2016). Capturing heterogeneity in medical marijuana policies: A taxonomy of regulatory regimes across the United States. Substance Use & Misuse, 51, 1174–1184. doi:10.3109/10826084.2016.1160932
-
(2016)
Substance Use & Misuse
, vol.51
, pp. 1174-1184
-
-
Chapman, S.A.1
Spetz, J.2
Lin, J.3
Chan, K.4
Schmidt, L.A.5
-
5
-
-
84940651583
-
Assessing electronic cigarette-related tweets for sentiment and content using supervised machine learning
-
Cole-Lewis, H., Varghese, A., Sanders, A., Schwarz, M., Pugatch, J., & Augustson, E. (2015). Assessing electronic cigarette-related tweets for sentiment and content using supervised machine learning. Journal of Medical Internet Research, 17(8), e208. doi:10.2196/jmir.4392
-
(2015)
Journal of Medical Internet Research
, vol.17
, Issue.8
-
-
Cole-Lewis, H.1
Varghese, A.2
Sanders, A.3
Schwarz, M.4
Pugatch, J.5
Augustson, E.6
-
6
-
-
84880815938
-
Promoting innovation and excellence to face the rapid diffusion of novel psychoactive substances in the EU: The outcomes of the ReDNet project
-
Corazza, O., Assi, S., Simonato, P., Corkery, J., Bersani, F. S., Demetrovics, Z., … Schifano, F. (2013). Promoting innovation and excellence to face the rapid diffusion of novel psychoactive substances in the EU: The outcomes of the ReDNet project. Human Psychopharmacology: Clinical & Experimental, 28, 317–323. doi:10.1002/hup.2299
-
(2013)
Human Psychopharmacology: Clinical & Experimental
, vol.28
, pp. 317-323
-
-
Corazza, O.1
Assi, S.2
Simonato, P.3
Corkery, J.4
Bersani, F.S.5
Demetrovics, Z.6
Schifano, F.7
-
7
-
-
85014891730
-
“When ‘bad’ is ‘good’”: Identifying personal communication and sentiment in drug-related tweets
-
Daniulaityte, R., Chen, L., Lamy, F. R., Carlson, R. G., Thirunarayan, K., & Sheth, A. (2016). “When ‘bad’ is ‘good’”: Identifying personal communication and sentiment in drug-related tweets. JMIR Public Health and Surveillance, 2(2), e162. doi:10.2196/publichealth.6327
-
(2016)
JMIR Public Health and Surveillance
, vol.2
, Issue.2
-
-
Daniulaityte, R.1
Chen, L.2
Lamy, F.R.3
Carlson, R.G.4
Thirunarayan, K.5
Sheth, A.6
-
8
-
-
84941933127
-
“Time for dabs”: Analyzing Twitter data on marijuana concentrates across the U.S
-
Daniulaityte, R., Nahhas, R. W., Wijeratne, S., Carlson, R. G., Lamy, F. R., Martins, S. S., … Sheth, A. (2015). “Time for dabs”: Analyzing Twitter data on marijuana concentrates across the U.S. Drug and Alcohol Dependence, 155, 307–311. doi:10.1016/j.drugalcdep.2015.07.1199
-
(2015)
Drug and Alcohol Dependence
, vol.155
, pp. 307-311
-
-
Daniulaityte, R.1
Nahhas, R.W.2
Wijeratne, S.3
Carlson, R.G.4
Lamy, F.R.5
Martins, S.S.6
Sheth, A.7
-
9
-
-
84877338472
-
Tweaking and tweeting: Exploring Twitter for nonmedical use of a psychostimulant drug (Adderall) among college students
-
Hanson, C. L., Burton, S. H., Giraud-Carrier, C., West, J. H., Barnes, M. D., & Hansen, B. (2013). Tweaking and tweeting: Exploring Twitter for nonmedical use of a psychostimulant drug (Adderall) among college students. Journal of Medical Internet Research, 15(4), e62. doi:10.2196/jmir.2503
-
(2013)
Journal of Medical Internet Research
, vol.15
, Issue.4
-
-
Hanson, C.L.1
Burton, S.H.2
Giraud-Carrier, C.3
West, J.H.4
Barnes, M.D.5
Hansen, B.6
-
10
-
-
0001669952
-
A stagewise rejective multiple test procedure based on a modified Bonferroni test
-
Hommel, G. (1988). A stagewise rejective multiple test procedure based on a modified Bonferroni test. Biometrika, 75, 383–386. doi:10.1093/biomet/75.2.383
-
(1988)
Biometrika
, vol.75
, pp. 383-386
-
-
Hommel, G.1
-
11
-
-
85051175687
-
-
Internet Live Stats. (2016). Twitter usage statistics. Retrieved from http://www.internetlivestats.com/twitter-statistics/
-
(2016)
Twitter Usage Statistics
-
-
-
12
-
-
84962081670
-
Garbage in, garbage out: Data collection, quality assessment and reporting standards for social media data use in health research, infodemiology and digital disease detection
-
Kim, Y., Huang, J., & Emery, S. (2016). Garbage in, garbage out: Data collection, quality assessment and reporting standards for social media data use in health research, infodemiology and digital disease detection. Journal of Medical Internet Research, 18(2), e41. doi:10.2196/jmir.4738
-
(2016)
Journal of Medical Internet Research
, vol.18
, Issue.2
-
-
Kim, Y.1
Huang, J.2
Emery, S.3
-
14
-
-
84966708016
-
Those edibles hit hard: Exploration of Twitter data on cannabis edibles in the U.S
-
Lamy, F. R., Daniulaityte, R., Sheth, A., Nahhas, R. W., Martins, S. S., Boyer, E. W., & Carlson, R. G. (2016). Those edibles hit hard: Exploration of Twitter data on cannabis edibles in the U.S. Drug and Alcohol Dependence, 164, 64–70. doi:10.1016/j.drugalcdep.2016.04.029
-
(2016)
Drug and Alcohol Dependence
, vol.164
, pp. 64-70
-
-
Lamy, F.R.1
Daniulaityte, R.2
Sheth, A.3
Nahhas, R.W.4
Martins, S.S.5
Boyer, E.W.6
Carlson, R.G.7
-
15
-
-
84887267896
-
Is the sample good enough?
-
Morstatter, F., Pfeffer, J., Liu, H., & Carley, K. M. (2013). Is the sample good enough? Comparing data from Twitter’s streaming API with Twitter’s firehose. arXiv:1306.5204.
-
(2013)
Comparing Data from Twitter’s Streaming API with Twitter’s Firehose
-
-
Morstatter, F.1
Pfeffer, J.2
Liu, H.3
Carley, K.M.4
-
16
-
-
58549094280
-
Earlier warning: A multi-indicator approach to monitoring trends in the illicit use of medicines
-
Mounteney, J., & Haugland, S. (2009). Earlier warning: A multi-indicator approach to monitoring trends in the illicit use of medicines. International Journal on Drug Policy, 20, 161–169. doi:10.1016/j. drugpo.2007.09.006
-
(2009)
International Journal on Drug Policy
, vol.20
, pp. 161-169
-
-
Mounteney, J.1
Haugland, S.2
-
17
-
-
84883360748
-
Using Twitter to examine smoking behavior and perceptions of emerging tobacco products
-
Myslín, M., Zhu, S. H., Chapman, W., & Conway, M. (2013). Using Twitter to examine smoking behavior and perceptions of emerging tobacco products. Journal of Medical Internet Research, 15(8), e174. doi:10.2196/jmir.2534
-
(2013)
Journal of Medical Internet Research
, vol.15
, Issue.8
-
-
Myslín, M.1
Zhu, S.H.2
Chapman, W.3
Conway, M.4
-
18
-
-
84942568827
-
-
National Institute on Drug Abuse. (2014). DrugFacts: Marijuana. Retrieved from https://www.drugabuse.gov/publications/drugfacts/marijuana
-
(2014)
Drugfacts: Marijuana
-
-
-
19
-
-
85032969052
-
-
NDEWS. (2016). National Drug Early Warning System. Retrieved from https://ndews.umd.edu/
-
(2016)
-
-
-
20
-
-
85032971340
-
-
Oregon Health Authority. (2015). Oregon Medical Marijuana Program. Retrieved from http://www.oregon.gov/oha/PH/DiseasesConditions/ChronicDisease/MedicalMarijuanaProgram/Pages/index.aspx
-
(2015)
Oregon Medical Marijuana Program
-
-
-
21
-
-
84915746728
-
Assessing the effects of medical marijuana laws on marijuana use: The devil is in the details
-
Pacula, R. L., Powell, D., Heaton, P., & Sevigny, E. L. (2015). Assessing the effects of medical marijuana laws on marijuana use: The devil is in the details. Journal of Policy Analysis and Management, 34, 7–31. doi:10.1002/pam.21804
-
(2015)
Journal of Policy Analysis and Management
, vol.34
, pp. 7-31
-
-
Pacula, R.L.1
Powell, D.2
Heaton, P.3
Sevigny, E.L.4
-
22
-
-
84893837434
-
Legalizing a market for cannabis for pleasure: Colorado, Washington, Uruguay and beyond
-
Room, R. (2014). Legalizing a market for cannabis for pleasure: Colorado, Washington, Uruguay and beyond. Addiction, 109, 345–351. doi:10.1111/add.12355
-
(2014)
Addiction
, vol.109
, pp. 345-351
-
-
Room, R.1
-
23
-
-
84958177090
-
Twitris: A system for collective social intelligence
-
R. Alhajj & J. Rokne (Eds.), New York, NY: Springer
-
Sheth, A., Jadhav, A., Kapanipathi, P., Lu, C., Purohit, H., Smith, G. A., & Wang, W. (2014). Twitris: A system for collective social intelligence. In R. Alhajj & J. Rokne (Eds.), Encyclopedia of social network analysis and mining (pp. 2240–2253). New York, NY: Springer. doi:10.1007/978-1-4614-6170-8_345
-
(2014)
Encyclopedia of Social Network Analysis and Mining
, pp. 2240-2253
-
-
Sheth, A.1
Jadhav, A.2
Kapanipathi, P.3
Lu, C.4
Purohit, H.5
Smith, G.A.6
Wang, W.7
-
24
-
-
84945139871
-
Drug use in the Twittersphere: A qualitative contextual analysis of Tweets about prescription drugs
-
Shutler, L., Nelson, L. S., Portelli, I., Blachford, C., & Perrone, J. (2015). Drug use in the Twittersphere: A qualitative contextual analysis of Tweets about prescription drugs. Journal of Addictive Diseases, 34, 303–310. doi:10.1080/10550887.2015.1074505
-
(2015)
Journal of Addictive Diseases
, vol.34
, pp. 303-310
-
-
Shutler, L.1
Nelson, L.S.2
Portelli, I.3
Blachford, C.4
Perrone, J.5
-
26
-
-
84931477524
-
Prevalence of marijuana-related traffic on Twitter, 2012–2013: A content analysis
-
Thompson, L., Rivara, F. P., & Whitehill, J. M. (2015). Prevalence of marijuana-related traffic on Twitter, 2012–2013: A content analysis. Cyberpsychology, Behavior, and Social Networking, 18, 311–319. doi:10.1089/cyber.2014.0620
-
(2015)
Cyberpsychology, Behavior, and Social Networking
, vol.18
, pp. 311-319
-
-
Thompson, L.1
Rivara, F.P.2
Whitehill, J.M.3
-
27
-
-
85016560853
-
-
Twitter. (2016). About the company. Retrieved from https://about.twitter. com/company
-
(2016)
About the Company
-
-
-
28
-
-
84960394492
-
Older, less regulated medical marijuana programs have much greater enrollment rates than newer medicalized programs
-
Williams, A. R., Olfson, M., Kim, J. H., Martins, S. S., & Kleber, H. D. (2016). Older, less regulated medical marijuana programs have much greater enrollment rates than newer medicalized programs. Health Affairs (Project Hope), 35, 480–488. doi:10.1377/hlthaff.2015.0528
-
(2016)
Health Affairs (Project Hope)
, vol.35
, pp. 480-488
-
-
Williams, A.R.1
Olfson, M.2
Kim, J.H.3
Martins, S.S.4
Kleber, H.D.5
-
29
-
-
85032885027
-
-
Paper presented at the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Tainan, Taiwan
-
Yin, P., Ram, N., Lee, W., Tucker, C., Khandelwal, S., & Salathe, M. (2014, May). Two sides of a coin: Separating personal communication and public dissemination accounts in Twitter. Paper presented at the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Tainan, Taiwan.
-
(2014)
Two Sides of a Coin: Separating Personal Communication and Public Dissemination Accounts in Twitter
-
-
Yin, P.1
Ram, N.2
Lee, W.3
Tucker, C.4
Khandelwal, S.5
Salathe, M.6
|