ArticleMilitary psychology : the official journal of the Division of Military Psychology, American Psychological Association2021
Building effective networks for the transition from the military to the civilian workforce: Who, what, when, and how.
Article in Military psychology : the official journal of the Division of Military Psychology, American Psychological Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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
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Who cites it
3 citing papers in PubMed.
- Structural and functional social support in UK military veterans during the COVID-19 pandemic and associations with mental health and wellbeing: a cross-sectional study.BMC public health · 2025Article
- Peace of mind: Promoting psychological growth and reducing the suffering of combat veterans.Military psychology : the official journal of the Division of Military Psychology, American Psychological Association · 2022Article
- Impact of Probable Deployment Traumatic Brain Injury on Post-9/11 Veteran's Productive Activity Participation After Service: A TVMI Study.The Journal of head trauma rehabilitationArticle
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Servicemembers leaving the military and entering the civilian workforce are often encouraged to network to identify and obtain civilian employment. However, there are few resources that offer insights into how to build an effective network when transitioning from the military to the civilian workforce. Based on extant literature, we present a G
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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.