-
2
-
-
84862147541
-
Health information seeking and social media use on the Internet among people with diabetes
-
Shaw RJ. Health information seeking and social media use on the Internet among people with diabetes. Online J Public Health Inform 2011;3(1).
-
(2011)
Online J Public Health Inform
, vol.3
, Issue.1
-
-
Shaw, R.J.1
-
3
-
-
0037034257
-
Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin
-
Knowler WC, Barrett-Connor E, Fowler SE, Hamman RF, Lachin JM, Walker EA, et al.;Diabetes Prevention Program Research Group. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med 2002; 346(6):393-403.
-
(2002)
N Engl J Med
, vol.346
, Issue.6
, pp. 393-403
-
-
Knowler, W.C.1
Barrett-Connor, E.2
Fowler, S.E.3
Hamman, R.F.4
Lachin, J.M.5
Walker, E.A.6
-
4
-
-
74049147542
-
The social life of health information
-
Pew Internet and American Life Project 2011, Accessed March 11
-
Fox S. The social life of health information. Pew Internet and American Life Project 2011. http://www.pewinternet.org/2011/05/12/the-social-life-of-health-information-2011/. Accessed March 11, 2015.
-
(2015)
-
-
Fox, S.1
-
5
-
-
84877338092
-
A new dimension of health care: systematic review of the uses, benefits, and limitations of social media for health communication
-
Moorhead SA, Hazlett DE, Harrison L, Carroll JK, Irwin A, Hoving C. A new dimension of health care: systematic review of the uses, benefits, and limitations of social media for health communication. J Med Internet Res 2013;15(4)e85.
-
(2013)
J Med Internet Res
, vol.15
, Issue.4
, pp. e85
-
-
Moorhead, S.A.1
Hazlett, D.E.2
Harrison, L.3
Carroll, J.K.4
Irwin, A.5
Hoving, C.6
-
6
-
-
84882275501
-
Patients' and health professionals' use of social media in health care: motives, barriers, and expectations
-
Antheunis ML, Tates K, Nieboer TE. Patients' and health professionals' use of social media in health care: motives, barriers, and expectations. Patient Educ Couns 2013; 92(3):426-31.
-
(2013)
Patient Educ Couns
, vol.92
, Issue.3
, pp. 426-431
-
-
Antheunis, M.L.1
Tates, K.2
Nieboer, T.E.3
-
7
-
-
84859502267
-
Mixed uptake of social media among public health specialists
-
Jones B. Mixed uptake of social media among public health specialists. Bull World Health Organ 2011;89(11):784-5.
-
(2011)
Bull World Health Organ
, vol.89
, Issue.11
, pp. 784-785
-
-
Jones, B.1
-
8
-
-
79953698133
-
Does social media improve communication? Evaluating the NIOSH science blog
-
Sublet V, Spring C, Howard J;National Institute for Occupational Safety and Health. Does social media improve communication? Evaluating the NIOSH science blog. Am J Ind Med 2011;54(5):384-94.
-
(2011)
Am J Ind Med
, vol.54
, Issue.5
, pp. 384-394
-
-
Sublet, V.1
Spring, C.2
Howard, J.3
-
9
-
-
84877653610
-
Social media adoption in local health departments nationwide
-
Harris JK, Mueller NL, Snider D. Social media adoption in local health departments nationwide. Am J Public Health 2013; 103(9):1700-7.
-
(2013)
Am J Public Health
, vol.103
, Issue.9
, pp. 1700-1707
-
-
Harris, J.K.1
Mueller, N.L.2
Snider, D.3
-
10
-
-
84862639234
-
Use of social media in health promotion:purposes, key performance indicators, and evaluation metrics
-
Neiger BL, Thackeray R, Van Wagenen SB, Hanson CL, West JH, Barnes MD, et al. Use of social media in health promotion:purposes, key performance indicators, and evaluation metrics. Health Promot Pract 2012;13(2):159-64.
-
(2012)
Health Promot Pract
, vol.13
, Issue.2
, pp. 159-164
-
-
Neiger, B.L.1
Thackeray, R.2
Van Wagenen, S.B.3
Hanson, C.L.4
West, J.H.5
Barnes, M.D.6
-
11
-
-
84872527238
-
Web 2.0 for health promotion: reviewing the current evidence
-
Chou WY, Prestin A, Lyons C, Wen K. Web 2.0 for health promotion: reviewing the current evidence. Am J Public Health 2013;103(1):e9-18.
-
(2013)
Am J Public Health
, vol.103
, Issue.1
, pp. e9-e18
-
-
Chou, W.Y.1
Prestin, A.2
Lyons, C.3
Wen, K.4
-
12
-
-
84897649952
-
Are health behavior change interventions that use online social networks effective? A systematic review
-
Maher CA, Lewis LK, Ferrar K, Marshall S, De Bourdeaudhuij I, Vandelanotte C. Are health behavior change interventions that use online social networks effective? A systematic review. J Med Internet Res 2014;16(2):e40.
-
(2014)
J Med Internet Res
, vol.16
, Issue.2
, pp. e40
-
-
Maher, C.A.1
Lewis, L.K.2
Ferrar, K.3
Marshall, S.4
De Bourdeaudhuij, I.5
Vandelanotte, C.6
-
13
-
-
79952335215
-
Motivating physical activity at work: using persuasive social media for competitive step counting
-
ACM 2010.Proceedings of the 14th international academic MindTrek conference on envisioning future media environments, Oct 6-8; Tampere, Finland
-
Foster D, Linehan C, Kirman B, Lawson S, James G. Motivating physical activity at work: using persuasive social media for competitive step counting. ACM 2010.Proceedings of the 14th international academic MindTrek conference on envisioning future media environments; 2010 Oct 6-8; Tampere, Finland.
-
(2010)
-
-
Foster, D.1
Linehan, C.2
Kirman, B.3
Lawson, S.4
James, G.5
-
14
-
-
78649235583
-
Want to be retweeted? Large scale analytics on factors impacting retweet in Twitter network
-
Proceedings of the Institute of Electronics and Electrical Engineers Second International Conference on Social Computing (SocialCom), Accessed March 11, 2015
-
Suh B, Hong L, Pirolli P, Chi EH. Want to be retweeted? Large scale analytics on factors impacting retweet in Twitter network. Proceedings of the Institute of Electronics and Electrical Engineers Second International Conference on Social Computing (SocialCom); 2010; p 177-184. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5590452. Accessed March 11, 2015.
-
(2010)
, pp. 177-184
-
-
Suh, B.1
Hong, L.2
Pirolli, P.3
Chi, E.H.4
-
15
-
-
84896958522
-
-
In: Social media update 2014. Washington (DC): Pew Internet and American Life Project
-
Duggan M, Ellison NB, Lampe C, Lenhart A, Madden M. While Facebook remains the most popular site, other platforms see higher rates of growth. In: Social media update 2014. Washington (DC): Pew Internet and American Life Project; 2015.
-
(2015)
While Facebook remains the most popular site, other platforms see higher rates of growth
-
-
Duggan, M.1
Ellison, N.B.2
Lampe, C.3
Lenhart, A.4
Madden, M.5
-
16
-
-
84859819123
-
The health communicator's social media toolkit
-
Accessed March 16, 2014
-
Centers for Disease Control and Prevention. The health communicator's social media toolkit; 2011; http://www.cdc.gov/socialmedia/tools/guidelines/pdf/socialmediatoolkit_bm.pdf. Accessed March 16, 2014.
-
(2011)
-
-
-
17
-
-
84931348941
-
Twitter, Inc form S-1 registration statement
-
Accessed January 27, 2015
-
United States Securities and Exchange Commission. Twitter, Inc form S-1 registration statement; 2013. http://www.sec.gov/Archives/edgar/data/1418091/000119312513390321/ d564001ds1.htm. Accessed January 27, 2015.
-
(2013)
-
-
-
18
-
-
84931326524
-
AppAppeal: Amazon Mechanical Turk usage per country 2014
-
Accessed January 27
-
Internet Archive Way Back Machine. AppAppeal: Amazon Mechanical Turk usage per country 2014. http://web.archive.org/web/20140809165812/http:/www.appappeal.com/maps/amazon-mechanical-turk. Accessed January 27, 2015.
-
(2015)
-
-
-
19
-
-
84998791141
-
Privacy attitudes of Mechanical Turk workers and the US public
-
Symposium on Usable Privacy and Security (SOUPS), Accessed 11 March 2015
-
Kang R, Brown S, Dabbish L, Kiesler S. Privacy attitudes of Mechanical Turk workers and the US public. Symposium on Usable Privacy and Security (SOUPS); 2014. https://www.usenix.org/system/files/conference/soups2014/soups14- paper-kang.pdf. Accessed 11 March 2015.
-
(2014)
-
-
Kang, R.1
Brown, S.2
Dabbish, L.3
Kiesler, S.4
-
20
-
-
84931331035
-
The relationship between motivation, monetary compensation, and data quality among US- and India-based workers on Mechanical Turk
-
Behav Res Methods. Epub 2014 June 7
-
Litman L, Robinson J, Rosenzweig C. The relationship between motivation, monetary compensation, and data quality among US- and India-based workers on Mechanical Turk. Behav Res Methods. Epub 2014 June 7.
-
-
-
Litman, L.1
Robinson, J.2
Rosenzweig, C.3
-
21
-
-
84897562536
-
Crowdsourcing - harnessing the masses to advance health and medicine, a systematic review
-
Ranard BL, Ha YP, Meisel ZF, Asch DA, Hill SS, Becker LB, et al. Crowdsourcing - harnessing the masses to advance health and medicine, a systematic review. J Gen Intern Med 2014;29(1):187-203.
-
(2014)
J Gen Intern Med
, vol.29
, Issue.1
, pp. 187-203
-
-
Ranard, B.L.1
Ha, Y.P.2
Meisel, Z.F.3
Asch, D.A.4
Hill, S.S.5
Becker, L.B.6
-
22
-
-
84874484025
-
Towards more systematic Twitter analysis: metrics for tweeting activities
-
Bruns A, Stieglitz S. Towards more systematic Twitter analysis: metrics for tweeting activities. Int J Soc Res Methodol 2013;16(2):91-108.
-
(2013)
Int J Soc Res Methodol
, vol.16
, Issue.2
, pp. 91-108
-
-
Bruns, A.1
Stieglitz, S.2
-
23
-
-
79952426320
-
How much is enough? New recommendations for using constructed week sampling in newspaper content analysis of health stories
-
Luke DA, Caburnay CA, Cohen EL. How much is enough? New recommendations for using constructed week sampling in newspaper content analysis of health stories. Communication Methods and Measures 2011;5(1):76-91.
-
(2011)
Communication Methods and Measures
, vol.5
, Issue.1
, pp. 76-91
-
-
Luke, D.A.1
Caburnay, C.A.2
Cohen, E.L.3
-
24
-
-
84883253893
-
twitteR: R based Twitter client
-
Accessed March 11, 2015
-
Gentry J. twitteR: R based Twitter client. 2013. http://cran.rproject. org/package=twitteR. Accessed March 11, 2015.
-
(2013)
-
-
Gentry, J.1
-
25
-
-
84874581785
-
Evaluating social media's capacity to develop engaged audiences in health promotion settings: use of Twitter metrics as a case study
-
Neiger BL, Thackeray R, Burton SH, Giraud-Carrier CG, Fagen MC. Evaluating social media's capacity to develop engaged audiences in health promotion settings: use of Twitter metrics as a case study. Health Promot Pract 2013; 14(2):157-62.
-
(2013)
Health Promot Pract
, vol.14
, Issue.2
, pp. 157-162
-
-
Neiger, B.L.1
Thackeray, R.2
Burton, S.H.3
Giraud-Carrier, C.G.4
Fagen, M.C.5
-
26
-
-
80054780870
-
NodeXL: a free and open network overview, discovery, and exploration add-in for Excel 2007/2010
-
from the Social Media Research Foundation, Accessed January 27
-
Smith M, Milic-Frayling N, Shneiderman B, Mendes Rodrigues E, Leskovec J, Dunne C. NodeXL: a free and open network overview, discovery, and exploration add-in for Excel 2007/2010. http://nodexl.codeplex.com/from the Social Media Research Foundation, http://www.smrfoundation.org2010. Accessed January 27, 2015.
-
(2015)
-
-
Smith, M.1
Milic-Frayling, N.2
Shneiderman, B.3
Mendes Rodrigues, E.4
Leskovec, J.5
Dunne, C.6
-
27
-
-
84890598790
-
Do you see what I see: crowdsource annotation of captured scenes
-
Accessed March 11, 2015
-
Hipp JA, Adlakha D, Gernes R, Kargol A, Pless R. Do you see what I see: crowdsource annotation of captured scenes. Proceedings of the 4th International SenseCam and Pervasive Imaging Conference: ACM; 2013. http://delivery.acm.org/10.1145/2530000/2526671/p24-hipp.pdf. Accessed March 11, 2015.
-
(2013)
Proceedings of the 4th International SenseCam and Pervasive Imaging Conference: ACM
-
-
Hipp, J.A.1
Adlakha, D.2
Gernes, R.3
Kargol, A.4
Pless, R.5
-
28
-
-
48249153186
-
Intraclass correlations: uses in assessing rater reliability
-
Shrout PE, Fleiss JL. Intraclass correlations: uses in assessing rater reliability. Psychol Bull 1979;86(2):420-8.
-
(1979)
Psychol Bull
, vol.86
, Issue.2
, pp. 420-428
-
-
Shrout, P.E.1
Fleiss, J.L.2
-
30
-
-
84931335883
-
Your tweet half-life is 1 billion times shorter than carbon-14's
-
Available from, Accessed on January 27, 2015
-
Wisemetrics. Your tweet half-life is 1 billion times shorter than carbon-14's . 2014. Available from:http://blog.wisemetrics.com/tweet-isbillion-time-shorter-thancarbon14/. Accessed on January 27, 2015.
-
(2014)
-
-
|