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Understanding How Domestic Violence Support Services Promote Survivor Well-being: A Conceptual Model

Overview of attention for article published in Journal of Family Violence, July 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
twitter
5 X users
facebook
1 Facebook page

Citations

dimensions_citation
88 Dimensions

Readers on

mendeley
208 Mendeley
Title
Understanding How Domestic Violence Support Services Promote Survivor Well-being: A Conceptual Model
Published in
Journal of Family Violence, July 2017
DOI 10.1007/s10896-017-9931-6
Pubmed ID
Authors

Cris M. Sullivan

Abstract

Domestic violence (DV) victim service programs have been increasingly expected by legislators and funders to demonstrate that they are making a significant difference in the lives of those using their services. Alongside this expectation, they are being asked to describe the Theory of Change guiding how they believe their practices lead to positive results for survivors and their children. Having a widely accepted conceptual model is not just potentially useful to funders and policy makers as they help shape policy and practice -- it can also help programs continually reflect upon and improve their work. This paper describes the iterative and collaborative process undertaken to generate a conceptual model describing how DV victim services are expected to improve survivors' lives. The Social and Emotional Well-Being Framework guiding the model is an ideal structure to use to describe the goals and practices of DV programs because this framework: (1) accurately represents DV programs' goal of helping survivors and their children thrive; and (2) recognizes the importance of community, social, and societal context in influencing individuals' social and emotional well-being. The model was designed to guide practice and to generate new questions for research and evaluation that address individual, community, and systems factors that promote or hinder survivor safety and well-being.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 208 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 208 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 15%
Student > Master 30 14%
Student > Doctoral Student 20 10%
Student > Bachelor 19 9%
Researcher 14 7%
Other 26 13%
Unknown 67 32%
Readers by discipline Count As %
Psychology 40 19%
Social Sciences 38 18%
Nursing and Health Professions 15 7%
Medicine and Dentistry 10 5%
Engineering 5 2%
Other 27 13%
Unknown 73 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 June 2023.
All research outputs
#2,547,839
of 24,995,564 outputs
Outputs from Journal of Family Violence
#154
of 1,419 outputs
Outputs of similar age
#46,606
of 320,344 outputs
Outputs of similar age from Journal of Family Violence
#3
of 18 outputs
Altmetric has tracked 24,995,564 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,419 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has done well, scoring higher than 87% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 320,344 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.