Optimizing Text Messages to Promote Engagement With Internet Smoking Cessation Treatment: Results From a Factorial Screening Experiment
Optimizing Text Messages to Promote Engagement With Internet Smoking Cessation Treatment: Results From a Factorial Screening Experiment is a research paper published in Journal of Medical Internet Research (2020). On theSindex it has a DataRank of 1.3. It has been cited 34 times, with 26 citing works in its 1-hop citation network.
Scored on demand from live citation data
Repositories this paper deposited data in (declared in PubMed).
- ClinicalTrials.govNCT02585206
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
›Methodology & internals
FAIR Checklist
Context only (not used in score)- Has DOI
- Open Access
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DataRank Breakdown
Base Score Contribution
0.533
From this paper's citation signal
Citation Network Contribution
0.786
From 20 citing papers with measurable signal
Top 5 citers driving the network score
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 26 citers.
- Ten Million Calls and Counting: Progress and Promise of Tobacco Quitlines in the U.S.American Journal of Preventive Medicine202138 citations26 referencesContributes 0.141
- Understanding Engagement Strategies in Digital Interventions for Mental Health Promotion: Scoping ReviewJMIR Mental Health2021209 citations46 referencesContributes 0.116
- Digital Micro Interventions for Behavioral and Mental Health Gains: Core Components and Conceptualization of Digital Micro Intervention CareJournal of Medical Internet Research2020129 citations61 referencesContributes 0.080
- Mobile Phone–Based Interventions for Smoking Cessation Among Young People: Systematic Review and Meta-AnalysisJMIR mhealth and uhealth202336 citations54 referencesContributes 0.067
- Effectiveness of a Dyadic Buddy App for Smoking Cessation: Randomized Controlled TrialJournal of Medical Internet Research202130 citations59 referencesContributes 0.058