Does a Social Network Based Model of Journal Metrics Improve Ranking? by Carol Perryman

“…Design – Bibliometric, social network centrality analysis Setting – Los Alamos National Laboratory (LANL), New Mexico Subjects – 40,847 full-text articles downloaded from a large digital library by 1,858 unique users over a 6 month period. Methods – Full-text article downloads from a large digital library for a six-month period were examined using social networking analysis methods. …”
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Topics and Sentiment Surrounding Vaping on Twitter and Reddit During the 2019 e-Cigarette and Vaping Use–Associated Lung Injury Outbreak: Comparative Study by Dezhi Wu, Erin Kasson, Avineet Kumar Singh, Yang Ren, Nina Kaiser, Ming Huang, Patricia A Cavazos-Rehg

“…ResultsVaping-related posts and unique users on Twitter and Reddit increased from July 2019 to September 2019, with the average post per user increasing from 1.68 to 1.81 on Twitter and 1.19 to 1.21 on Reddit. …”
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America’s HIV Epidemic Analysis Dashboard: Protocol for a Data Resource to Support Ending the HIV Epidemic in the United States by Patrick Sean Sullivan, Cory R Woodyatt, Oskian Kouzouian, Kristen J Parrish, Jennifer Taussig, Chris Conlan, Harold Phillips

“…In the 11 months since its launch, the Dashboard has been visited 26,591 times by 17,600 unique users. About one-quarter of all users returned to the Dashboard at least once. …”
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Public Discourse and Sentiment Toward Dementia on Chinese Social Media: Machine Learning Analysis of Weibo Posts by Dexia Kong, Anfan Chen, Jingwen Zhang, Xiaoling Xiang, W Q Vivian Lou, Timothy Kwok, Bei Wu

“…MethodsIn total, 983,039 original dementia-related posts published by 347,599 unique users between 2010 and 2021, together with their user information, were analyzed. …”
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Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study by Low, Daniel M, Rumker, Laurie, Talkar, Tanya, Torous, John, Cecchi, Guillermo, Ghosh, Satrajit S

“…MethodsWe created and released the Reddit Mental Health Dataset including posts from 826,961 unique users from 2018 to 2020. Using regression, we analyzed trends from 90 text-derived features such as sentiment analysis, personal pronouns, and semantic categories. …”
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Internet-Based Cognitive-Behavioral Therapy for College Students With Anxiety, Depression, Social Anxiety, or Insomnia: Four Single-Group Longitudinal Studies of Archival Commercia... by Attridge, Mark D, Morfitt, Russell C, Roseborough, David J, Jones, Edward R

“…The inclusion criteria were having clinical symptoms at established levels of moderate or higher severity and the use of 2 or more of the 8 lessons of a program within a 6-month period. Unique users in each program included 347 for depression; 325 for stress, anxiety, and worry; 203 for social anxiety; and 76 for insomnia. …”
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Personalized Information Service for Clinicians: Users Like It by Gale G. Hannigan

“…Main Results – During the 10-month study period, 23 unique users submitted a total of 45 questions to the EBM Literature Request Service. …”
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Spread of COVID-19 Vaccine Misinformation in the Ninth Inning: Retrospective Observational Infodemic Study by Alec J Calac, Michael R Haupt, Zhuoran Li, Tim Mackey

“…An additional 1243 comments on misinformation-labeled tweets from 973 unique users were also collected, with 779 comments deemed relevant to study aims. …”
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Does a Social Network Based Model of Journal Metrics Improve Ranking? A review of: Bollen, Johan, Herbert Van de Sompel, Joan A. Smith and Rick Luce. “Toward Alternative Metrics of... by Carol Perryman

“…<br><b>Design</b> – Bibliometric, social network centrality analysis<br><b>Setting</b> – Los Alamos National Laboratory (LANL), New Mexico <br><b>Subjects</b> – 40,847 full‐text articles downloaded from a large digital library by 1,858 unique users over a 6 month period.<br><b>Methods</b> – Full‐text article downloads from a large digital library for a six‐month period were examined using social networking analysis methods. …”
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The Development of a Chatbot Technology to Disseminate Post–COVID-19 Information: Descriptive Implementation Study by Mayssam Nehme, Franck Schneider, Anne Perrin, Wing Sum Yu, Simon Schmitt, Guillemette Violot, Aurelie Ducrot, Frederique Tissandier, Klara Posfay-Barbe, Idris Guessous

“…ResultsTo date, the RAFAEL chatbot has had 30,488 interactions, with an 79.6% (6417/8061) matching rate and a 73.2% (n=1795) positive feedback rate out of the 2451 users who provided feedback. Overall, 5807 unique users interacted with the chatbot, with 5.1 interactions per user, on average, and 8061 stories triggered. …”
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Characterizing Twitter Content About HIV Pre-exposure Prophylaxis (PrEP) for Women: Qualitative Content Analysis by Shimrit Keddem, Aneeza Agha, Sabrina Morawej, Amy Buck, Peter Cronholm, Sarita Sonalkar, Matthew Kearney

“…ResultsA total of 1256 tweets from 396 unique users were relevant to our study focus of content about PrEP specifically for women (1256/2908, 43.2% of eligible tweets). …”
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Culturally Tailored Social Media Content to Reach Latinx Immigrant Sexual Minority Men for HIV Prevention: Web-Based Feasibility Study by Jane J Lee, Joel Aguirre Herrera, José Cardona, Loren Yesenia Cruz, Lésster Munguía, Christopher A Leyva Vera, Gabriel Robles

“…ResultsOverall, 739 unique users visited the website during the 9-day period when the social media content was posted on Instagram and Facebook. …”
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Mobile Health App for Self-Learning on HIV Prevention Knowledge and Services Among a Young Indonesian Key Population: Cohort Study by Garg, Priyanka Rani, Uppal, Leena, Mehra, Sunil, Mehra, Devika

“…The data were evaluated using a pre-post assessment survey conducted on a sample of 200 unique users, including 50 men who have sex with men and transgender women each, and 100 people who use drugs, with a follow-up response rate of 98% and 70%, respectively. …”
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Feasibility of a Mobile Health App for Routine Outcome Monitoring and Feedback in SMART Recovery Mutual Support Groups: Stage 1 Mixed Methods Pilot Study by Peter J Kelly, Alison K Beck, Frank P Deane, Briony Larance, Amanda L Baker, Leanne Hides, Victoria Manning, Anthony Shakeshaft, Joanne Neale, John F Kelly, Christopher Oldmeadow, Andrew Searles, Kerrin Palazzi, Kenny Lawson, Carla Treloar, Rebecca M Gray, Angela Argent, Ryan McGlaughlin

“…Four modes of data collection were used: ROM data directly entered by participants into the app; app data analytics captured by Amplitude Analytics (number of visits, number of unique users, visit duration, time of visit, and user retention); baseline, 2-, and 8-week follow-up assessments conducted through telephone; and qualitative telephone interviews with a convenience sample of study participants (20/72, 28%) and facilitators (n=8). …”
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#Globalhealth Twitter Conversations on #Malaria, #HIV, #TB, #NCDS, and #NTDS: a Cross-Sectional Analysis by Isaac Chun-Hai Fung, Ashley M. Jackson, Jennifer O. Ahweyevu, Jordan H. Grizzle, Jingjing Yin, Zion Tsz Ho Tse, Hai Liang, Juliet N. Sekandi, King-Wa Fu

“…</p><p>Findings</p><p>In the entire #GlobalHealth corpus (N = 157,951), there were 40,266 unique users, 85,168 retweets, and 13,107 unique co-occurring hashtags. …”
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Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study by Low, Daniel M., Rumker, Laurie, Talkar, Tanya, Torous, John, Cecchi, Guillermo, Ghosh, Satrajit S

“…Methods: We created and released the Reddit Mental Health Dataset including posts from 826,961 unique users from 2018 to 2020. Using regression, we analyzed trends from 90 text-derived features such as sentiment analysis, personal pronouns, and semantic categories. …”
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Cable-driven underactuated wearable robotic devices for hand assistance by Bernardo, Alexandre Pinto Sales de Noronha

“…This is coupled with an automatic, model-based procedure that designs structures optimised to achieve the first postural synergy of unique users' hands. Lastly, we have preliminarily indicated that modulation of the stiffness of the structures is possible. …”
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Conceptual design blueprint for the DiSSCo digitization infrastructure - DELIVERABLE D8.1 by Alex Hardisty, Hannu Saarenmaa, Ana Casino, Mathias Dillen, Karsten Gödderz, Quentin Groom, Helen Hardy, Dimitris Koureas, Abraham Nieva de la Hidalga, Deborah Paul, Veljo Runnel, Xavier Vermeersch, Myriam van Walsum, Luc Willemse

“…DiSSCo will deliver the diagnostic information required for novel approaches and new services that will transform the landscape of what is possible in ways that are hard to imagine today.With approximately 1.5 billion objects to be digitised, bringing natural science collections to the information age is expected to result in many tens of petabytes of new data over the next decades, used on average by 5,000 – 15,000 unique users every day. This requires new skills, clear policies and robust procedures and new technologies to create, work with and manage large digital datasets over their entire research data lifecycle, including their long-term storage and preservation and open access. …”
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