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Adjutant: an R-based tool to support topic discovery for systematic and literature reviews
5 references·2 citing·33 second hop
Adjutant: an R-based tool to support topic discovery for systematic and literature reviews (2018)Adjutant: an R-based tool to support topi…tidytext: Text Mining and Analysis Using Tidy Data Principles in R (2016)tidytext: Text Mining and Ana…Using text mining for study identification in systematic reviews: a systematic review of current approaches (2015)Using text mining for study i…Faster title and abstract screening? Evaluating Abstrackr, a semi-automated online screening program for systematic reviewers (2015)Faster title and abstract scr…Erratum to: Using text mining for study identification in systematic reviews: a systematic review of current approaches (2015)Erratum to: Using text mining…Pinpointing needles in giant haystacks: use of text mining to reduce impractical screening workload in extremely large scoping reviews (2013)Pinpointing needles in giant …Technology and the Conduct of Bibliometric Literature Reviews in Management: The Software Tools, Benefits, and Challenges (2023)Technology and the Conduct of…revtools: An R package to support article screening for evidence synthesis (2018)revtools: An R package to sup…Scoping studies: towards a methodological framework (2005)Nudge: improving decisions about health, wealth, and happiness (2008)Use of cost-effectiveness analysis to compare the efficiency of study identification methods in systematic reviews (2016)Prioritising references for systematic reviews with RobotAnalyst: A user study (2018)Cochrane Handbook for Systematic Reviews of Interventions (2020)SWIFT-Active Screener: Accelerated document screening through active learning and integrated recall estimation (2020)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. (2009)The Cochrane Collaboration's tool for assessing risk of bias in randomised trials (2011)Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing human screening error (2019)Abstract screening using the automated tool Rayyan: results of effectiveness in three diagnostic test accuracy systematic reviews (2022)Systematic Reviews: Rationale for systematic reviews (1994)Seventy-Five Trials and Eleven Systematic Reviews a Day: How Will We Ever Keep Up? (2010)An Introduction to Systematic Reviews (2013)Evidence & Gap Maps: A tool for promoting evidence informed policy and strategic research agendas (2016)Living systematic reviews: 2. Combining human and machine effort (2017)The value of a second reviewer for study selection in systematic reviews (2019)Text Mining Infrastructure in R (2008)Text Analysis in R (2017)quanteda: An R package for the quantitative analysis of textual data (2018)Social Media Use and Mental Health and Well-Being Among Adolescents – A Scoping Review (2020)Growth rates of modern science: A bibliometric analysis based on the number of publications and cited references (2015)Analysis of the time and workers needed to conduct systematic reviews of medical interventions using data from the PROSPERO registry (2017)Interdisciplinary Research Maps: A new technique for visualizing research topics (2020)Personality in Healthcare Human Robot Interaction (H-HRI) (2020)A Meta-Analysis of Human Personality and Robot Acceptance in Human-Robot Interaction (2021)Towards a Methodology for Developing Evidence‐Informed Management Knowledge by Means of Systematic Review (2003)Software survey: VOSviewer, a computer program for bibliometric mapping (2009)bibliometrix : An R-tool for comprehensive science mapping analysis (2017)Executive Coaching and Organizational Performance – A Bibliometric Approach (2024)Searching for and selecting studies (2019)Single screening versus conventional double screening for study selection in systematic reviews: a methodological systematic review (2019)Toward systematic review automation: a practical guide to using machine learning tools in research synthesis (2019)
this work references cited by second hop

References

  • 2016tidytext: Text Mining and Analysis Using Tidy Data Principles in R947 cited
  • 2015Using text mining for study identification in systematic reviews: a systematic review of current approaches680 cited
  • 2015Erratum to: Using text mining for study identification in systematic reviews: a systematic review of current approaches353 cited
  • 2015Faster title and abstract screening? Evaluating Abstrackr, a semi-automated online screening program for systematic reviewers184 cited
  • 2013Pinpointing needles in giant haystacks: use of text mining to reduce impractical screening workload in extremely large scoping reviews170 cited

Cited by

  • 2018revtools: An R package to support article screening for evidence synthesis22 cited
  • 2023Technology and the Conduct of Bibliometric Literature Reviews in Management: The Software Tools, Benefits, and Challenges18 cited

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