Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
191
Metadata Correction: How Patients With Schizophrenia Use the Internet: Qualitative Study
Beate Schrank, Ingrid Sibitz, Annemarie Unger, Michaela Amering
J Med Internet Res 2014;16(7):e165
(Jul 10, 2014)
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3 4.65 0.00 3 40
 
 
192
Collecting Maternal Health Information From HIV-Positive Pregnant Women Using Mobile Phone-Assisted Face-to-Face Interviews in Southern Africa
Alastair van Heerden, Shane Norris, Stephen Tollman, Linda Richter, Mary Jane Rotheram-Borus
J Med Internet Res 2013;15(6):e116
(Jun 10, 2013)
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3 0.50 0.00 9 60
 
 
193
Correlates of Health-Related Social Media Use Among Adults
Rosemary Thackeray, Benjamin T. Crookston, Joshua H. West
J Med Internet Res 2013;15(1):e21
(Jan 30, 2013)
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3 0.50 0.00 54 100
 
 
194
Should Health Organizations Use Web 2.0 Media in Times of an Infectious Disease Crisis? An In-depth Qualitative Study of Citizens’ Information Behavior During an EHEC Outbreak
Lex van Velsen, Julia E.W.C. van Gemert-Pijnen, Desirée J.M.A. Beaujean, Jobke Wentzel, Jim E. van Steenbergen
J Med Internet Res 2012;14(6):e181
(Dec 20, 2012)
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3 0.50 0.00 22 85
 
 
195
Feasibility of a Wiki as a Participatory Tool for Patients in Clinical Guideline Development
Elvira ME den Breejen, Willianne LDM Nelen, Jose M.L. Knijnenburg, Jako S Burgers, Rosella PMG Hermens, Jan AM Kremer
J Med Internet Res 2012;14(5):e138
(Oct 26, 2012)
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3 0.50 0.00 50 95
 
 
196
A Conceptual Framework and Principles for Trusted Pervasive Health
Pekka Sakari Ruotsalainen, Bernd Gerhard Blobel, Antto Veikko Seppälä, Hannu Olavi Sorvari, Pirkko Anneli Nykänen
J Med Internet Res 2012;14(2):e52
(Apr 6, 2012)
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3 0.50 0.00 16 65
 
 
197
A Smart Web Aid for Preventing Diabetes in Rural China: Preliminary Findings and Lessons
Penglai Chen, Jing Chai, Jing Cheng, Kaichun Li, Shaoyu Xie, Han Liang, Xingrong Shen, Rui Feng, Debin Wang
J Med Internet Res 2014;16(4):e98
(Apr 1, 2014)
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3 0.78 0.00 3 40
 
 
198
In the Words of the Medical Tourist: An Analysis of Internet Narratives by Health Travelers to Turkey
Margaret E Ozan-Rafferty, James A Johnson, Gulzar H Shah, Attila Kursun
J Med Internet Res 2014;16(2):e43
(Feb 6, 2014)
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3 0.53 0.00 3 20
 
 
199
Designing for Psychological Change: Individuals’ Reward and Cost Valuations in Weight Management
Anne Hsu, Ann Blandford
J Med Internet Res 2014;16(6):e138
(Jun 26, 2014)
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3 2.74 0.00 3 35
 
 
200
Mobile Health Applications for the Most Prevalent Conditions by the World Health Organization: Review and Analysis
Borja Martínez-Pérez, Isabel de la Torre-Díez, Miguel López-Coronado
J Med Internet Res 2013;15(6):e120
(Jun 14, 2013)
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3 0.50 0.00 106 100
 
 
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Total Tweets
 
Tweets per Month
 
Tweets Influence Factor
 
Twimpact Factor (TWIF) tw7
 
Twindex7

A Tweets per month statistic may be artifically inflated for newly published articles

B Tweets Influence Factor (TIF): number of tweets x avg. influence of tweeters (influence is determined by how often all tweets of that person are retweeted by others)

C Twimpact Factor (TWIF) tw7: Number of mentionings in tweets (tweetations) within first 7 days after article publication (Eysenbach 2011)

D Twindex7 (Eysenbach 2011): Rank percentile of this article when its twimpact factor (tw7) is compared to 19 previously published articles. Range 0-100, with higher scores reflecting higher impact on Twitter. Articles with a Twindex greater than 75 have a 75% chance of being highly cited (top quartile by citation), articles with a Twindex less than 75 have a 7% chance to be highly cited.