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Evaluating Behavioral Health Surveillance Systems

Overview of attention for article published in Preventing Chronic Disease: Public Health Research, Practice and Policy, May 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

blogs
1 blog
twitter
4 X users

Citations

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13 Dimensions

Readers on

mendeley
57 Mendeley
Title
Evaluating Behavioral Health Surveillance Systems
Published in
Preventing Chronic Disease: Public Health Research, Practice and Policy, May 2018
DOI 10.5888/pcd15.170459
Pubmed ID
Authors

Alejandro Azofeifa, Donna F. Stroup, Rob Lyerla, Thomas Largo, Barbara A. Gabella, C. Kay Smith, Benedict I. Truman, Robert D. Brewer, Nancy D. Brener

Abstract

In 2015, more than 27 million people in the United States reported that they currently used illicit drugs or misused prescription drugs, and more than 66 million reported binge drinking during the previous month. Data from public health surveillance systems on drug and alcohol abuse are crucial for developing and evaluating interventions to prevent and control such behavior. However, public health surveillance for behavioral health in the United States has been hindered by organizational issues and other factors. For example, existing guidelines for surveillance evaluation do not distinguish between data systems that characterize behavioral health problems and those that assess other public health problems (eg, infectious diseases). To address this gap in behavioral health surveillance, we present a revised framework for evaluating behavioral health surveillance systems. This system framework builds on published frameworks and incorporates additional attributes (informatics capabilities and population coverage) that we deemed necessary for evaluating behavioral health-related surveillance. This revised surveillance evaluation framework can support ongoing improvements to behavioral health surveillance systems and ensure their continued usefulness for detecting, preventing, and managing behavioral health problems.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 18%
Student > Ph. D. Student 8 14%
Student > Master 8 14%
Student > Bachelor 4 7%
Student > Doctoral Student 2 4%
Other 8 14%
Unknown 17 30%
Readers by discipline Count As %
Nursing and Health Professions 14 25%
Medicine and Dentistry 8 14%
Social Sciences 5 9%
Biochemistry, Genetics and Molecular Biology 2 4%
Business, Management and Accounting 2 4%
Other 8 14%
Unknown 18 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 15 September 2021.
All research outputs
#3,825,037
of 25,610,986 outputs
Outputs from Preventing Chronic Disease: Public Health Research, Practice and Policy
#759
of 2,008 outputs
Outputs of similar age
#72,513
of 340,326 outputs
Outputs of similar age from Preventing Chronic Disease: Public Health Research, Practice and Policy
#19
of 49 outputs
Altmetric has tracked 25,610,986 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,008 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.5. This one has gotten more attention than average, scoring higher than 62% 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 340,326 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 78% of its contemporaries.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.