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1. Mapping the field of physical therapy and identification of the leading active producers. A bibliometric analysis of the period 2000- 2018.

2. Exploring an Unknown Territory: "Sleeping Beauties" in the Nursing Research Literature.

3. Adolescent Young Carers Who Provide Care to Siblings.

4. Coping Strategies of Children and Adolescents with Clinically Diagnosed Short Stature.

5. Work restrictions experienced by midlife family care-givers of older people: evidence from six European countries.

6. Nurses as agents for achieving environmentally sustainable health systems: A bibliometric analysis.

7. Social engagement for mental health: An international survey of older populations.

8. How Did Employment and Financial Strain Affect the Self-rated Health of Lone Mothers Around the Time of the Economic Crisis? A Cross-sectional Comparison of the United Kingdom and Sweden.

9. Job Search Behavior, Networking, and Outcomes among Employed and Unemployed Italian New Graduate Nurses.

10. The Intracranial Distribution of Gliomas in Relation to Exposure From Mobile Phones: Analyses From the INTERPHONE Study.

11. Professional's Attitudes Do Not Influence Screening and Brief Interventions Rates for Hazardous and Harmful Drinkers: Results from ODHIN Study.

12. Understanding healthcare practices in superdiverse neighbourhoods and developing the concept of welfare bricolage: Protocol of a cross-national mixed-methods study.

13. Paired Reading for foster children: results from a Swedish replication of an English literacy intervention.

14. Importance models of the physical self: Improved methodology supports a normative-cultural importance model but not the individual importance model.

15. North–south gradients in plasma concentrations of B-vitamins and other components of one-carbon metabolism in Western Europe: results from the European Prospective Investigation into Cancer and Nutrition (EPIC) Study.

16. Higher maternal education is associated with favourable growth of young children in different countries.

17. Identifying dietary patterns using a normal mixture model: application to the EPIC study.