ReviewBriefings in bioinformatics2016
Crowdsourcing in biomedicine: challenges and opportunities.
Review in Briefings in bioinformatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
44 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A systematic literature review of machine learning in online personal health data.Journal of the American Medical Informatics Association : JAMIA · 2019Pooled it
- Mapping of Crowdsourcing in Health: Systematic Review.Journal of medical Internet research · 2018Pooled it
- PubChem synonym filtering process using crowdsourcing.Journal of cheminformatics · 2024Article
- Predictors of Pain Management Strategies in Adults with Low-Back Pain: A Secondary Analysis of Amazon Mechanical Turk Survey Data.Journal of integrative and complementary medicine · 2024Article
- PrEP your step: Implementing an online crowdsourcing contest to engage young people in HIV prevention in Washington DC, USA.PloS one · 2024Article
- Research on the doctors' win in crowdsourcing competitions: perspectives on service content and competitive environment.BMC medical informatics and decision making · 2023Article
- CIAO: a living experiment in interdisciplinary large-scale collaboration facilitated by the Adverse Outcome Pathway framework.Frontiers in public health · 2023Article
- Feasibility assessment of crowdsourcing slogans for promoting household waste segregation in India: a cross-sectional study.Frontiers in public health · 2023Article
- Recruitment and Retention in Remote Research: Learnings From a Large, Decentralized Real-world Study.JMIR formative research · 2022Article
- Twitter-based crowdsourcing: What kind of measures can help to end the COVID-19 pandemic faster?Frontiers in medicine · 2022Article
- Comparing the Recruitment of Research Participants With Chronic Low Back Pain Using Amazon Mechanical Turk With the Recruitment of Patients From Chiropractic Clinics: A Quasi-Experimental Study.Journal of manipulative and physiological therapeutics · 2021Article
- Does greater morning sickness predict carrying a girl? Analysis of nausea and vomiting during pregnancy from retrospective report.Archives of gynecology and obstetrics · 2021Article
- Developing Crowdsourced Training Data Sets for Pharmacovigilance Intelligent Automation.Drug safety · 2021Article
- CSVS, a crowdsourcing database of the Spanish population genetic variability.Nucleic acids research · 2021Article
- Article
- Ten tips for a text-mining-ready article: How to improve automated discoverability and interpretability.PLoS biology · 2020Article
- Crowd-Sourced Chemistry: Considerations for Building a Standardized Database to Improve Omic Analyses.ACS omega · 2020Review
- Adverse Events Due to Insomnia Drugs Reported in a Regulatory Database and Online Patient Reviews: Comparative Study.Journal of medical Internet research · 2019Article
- Evaluation of a Health Information Technology-Enabled Collective Intelligence Platform to Improve Diagnosis in Primary Care and Urgent Care Settings: Protocol for a Pragmatic Randomized Controlled Trial.JMIR research protocols · 2019Article
- Leveraging crowdsourcing to accelerate global health solutions.Nature biotechnology · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
The use of crowdsourcing to solve important but complex problems in biomedical and clinical sciences is growing and encompasses a wide variety of approaches. The crowd is diverse and includes online marketplace workers, health information seekers, science enthusiasts and domain experts. In this article, we review and highlight recent studies that use crowdsourcing to advance biomedicine. We classify these studies into two broad categories: (i) mining big data generated from a crowd (e.g. search logs) and (ii) active crowdsourcing via specific technical platforms, e.g. labor markets, wikis, scientific games and community challenges. Through describing each study in detail, we demonstrate the applicability of different methods in a variety of domains in biomedical research, including genomics, biocuration and clinical research. Furthermore, we discuss and highlight the strengths and limitations of different crowdsourcing platforms. Finally, we identify important emerging trends, opportunities and remaining challenges for future crowdsourcing research in biomedicine.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.