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Analyzing the impact of social factors on homelessness: a Fuzzy Cognitive Map approach

Overview of attention for article published in BMC Medical Informatics and Decision Making, August 2013
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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 (89th percentile)

Mentioned by

twitter
17 tweeters

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
160 Mendeley
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Title
Analyzing the impact of social factors on homelessness: a Fuzzy Cognitive Map approach
Published in
BMC Medical Informatics and Decision Making, August 2013
DOI 10.1186/1472-6947-13-94
Pubmed ID
Authors

Vijay K Mago, Hilary K Morden, Charles Fritz, Tiankuang Wu, Sara Namazi, Parastoo Geranmayeh, Rakhi Chattopadhyay, Vahid Dabbaghian

Abstract

The forces which affect homelessness are complex and often interactive in nature. Social forces such as addictions, family breakdown, and mental illness are compounded by structural forces such as lack of available low-cost housing, poor economic conditions, and insufficient mental health services. Together these factors impact levels of homelessness through their dynamic relations. Historic models, which are static in nature, have only been marginally successful in capturing these relationships.

Twitter Demographics

The data shown below were collected from the profiles of 17 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 160 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 <1%
Czechia 1 <1%
Iran, Islamic Republic of 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 155 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 40 25%
Student > Bachelor 23 14%
Student > Ph. D. Student 19 12%
Researcher 12 8%
Student > Doctoral Student 10 6%
Other 24 15%
Unknown 32 20%
Readers by discipline Count As %
Social Sciences 38 24%
Nursing and Health Professions 19 12%
Medicine and Dentistry 18 11%
Psychology 17 11%
Engineering 7 4%
Other 22 14%
Unknown 39 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 01 June 2021.
All research outputs
#1,912,380
of 18,772,620 outputs
Outputs from BMC Medical Informatics and Decision Making
#145
of 1,687 outputs
Outputs of similar age
#18,925
of 173,251 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 1 outputs
Altmetric has tracked 18,772,620 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 1,687 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 91% 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 173,251 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 89% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them