J. Francis

General Health Professions · Annals of Behavioral Medicine · 2004–2017

A researcher in the Science corpus: 7 papers; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom J. Francis trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Susan Michie
  2. Klaus Krippendorff
  3. Marie Johnston
  4. Julian P. T. Higgins
  5. C. Abraham
  6. Christopher J. Armitage
  7. M. Eccles

Who trusts J. Francis overall

  1. A. Knabe
  2. Paul R. Underwood
  3. W. Strydom
  4. M. Hennink
  5. Susan Michie
  6. Ashley K. Hagaman
  7. Zahra Tohidinia
  8. Y. Shin
  9. Yingli Wang
  10. G. Guest

Papers from J. Francis's perspective

Ordered by how strongly the researchers J. Francis trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A test of major assumptions about behavior change: a comprehensive look at the effects of passive and active HIV-prevention interventions since the beginning of the epidemic. (Psychological bulletin)
  2. Interventions to change health behaviours: evidence-based or evidence-inspired?
  3. Changing the behavior of healthcare professionals: the use of theory in promoting the uptake of research findings. (Journal of Clinical Epidemiology)
  4. The behaviour change wheel: A new method for characterising and designing behaviour change interventions (Implementation science : IS)
  5. Constructing questionnaires based on the theory of planned behaviour: A manual for health services researchers
  6. Making psychological theory useful for implementing evidence based practice: a consensus approach (BMJ Quality & Safety)
  7. Theories and techniques of behaviour change: Developing a cumulative science of behaviour change
  8. Improving the quality of health care in the United Kingdom and the United States: a framework for change. (Milbank Quarterly)
  9. The magical number seven plus or minus two: some limits on our capacity for processing information.
  10. Pvclust: an R package for assessing the uncertainty in hierarchical clustering (Bioinform.)

Their papers