Marie Johnston

General Health Professions · 2002–2018

A researcher in the Science corpus: 12 papers; trusts 9 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Marie Johnston trusts overall

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

  1. Susan Michie
  2. C. Abraham
  3. Klaus Krippendorff
  4. Robert Gatchel
  5. Thomas Llewelyn Webb
  6. Jeremy M. Grimshaw

Who trusts Marie Johnston overall

  1. Susan Michie
  2. Martin S. Hagger
  3. Weng Marc Lim
  4. P. Nilsen
  5. I. Ajzen
  6. C. Abraham
  7. Falko Sniehotta
  8. Rachel Davis
  9. Robert Münscher
  10. R. Carey

Papers from Marie Johnston's perspective

Ordered by how strongly the researchers Marie Johnston 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. Theories and techniques of behaviour change: Developing a cumulative science of behaviour change
  5. Constructing questionnaires based on the theory of planned behaviour: A manual for health services researchers
  6. Improving the reporting quality of nonrandomized evaluations of behavioral and public health interventions: the TREND statement. (American Journal of Public Health)
  7. The magical number seven plus or minus two: some limits on our capacity for processing information.
  8. Framework for design and evaluation of complex interventions to improve health
  9. Making psychological theory useful for implementing evidence based practice: a consensus approach (BMJ Quality & Safety)
  10. Pvclust: an R package for assessing the uncertainty in hierarchical clustering (Bioinform.)

Their papers