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Family History in Public Health Practice: A Genomic Tool for Disease Prevention and Health Promotion*

Overview of attention for article published in Annual Review of Public Health, March 2010
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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 (91st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
twitter
6 X users
googleplus
1 Google+ user

Citations

dimensions_citation
210 Dimensions

Readers on

mendeley
240 Mendeley
citeulike
1 CiteULike
Title
Family History in Public Health Practice: A Genomic Tool for Disease Prevention and Health Promotion*
Published in
Annual Review of Public Health, March 2010
DOI 10.1146/annurev.publhealth.012809.103621
Pubmed ID
Authors

Rodolfo Valdez, Paula W. Yoon, Nadeem Qureshi, Ridgely Fisk Green, Muin J. Khoury

Abstract

Family history is a risk factor for many chronic diseases, including cancer, cardiovascular disease, and diabetes. Professional guidelines usually include family history to assess health risk, initiate interventions, and motivate behavioral changes. The advantages of family history over other genomic tools include a lower cost, greater acceptability, and a reflection of shared genetic and environmental factors. However, the utility of family history in public health has been poorly explored. To establish family history as a public health tool, it needs to be evaluated within the ACCE framework (analytical validity; clinical validity; clinical utility; and ethical, legal, and social issues). Currently, private and public organizations are developing tools to collect standardized family histories of many diseases. Their goal is to create family history tools that have decision support capabilities and are compatible with electronic health records. These advances will help realize the potential of family history as a public health tool.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 240 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 3%
United Kingdom 4 2%
Switzerland 2 <1%
Australia 1 <1%
Brazil 1 <1%
Unknown 226 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 47 20%
Student > Master 39 16%
Student > Ph. D. Student 24 10%
Student > Doctoral Student 15 6%
Student > Bachelor 14 6%
Other 55 23%
Unknown 46 19%
Readers by discipline Count As %
Medicine and Dentistry 69 29%
Agricultural and Biological Sciences 29 12%
Nursing and Health Professions 21 9%
Social Sciences 14 6%
Psychology 13 5%
Other 38 16%
Unknown 56 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 23 August 2022.
All research outputs
#2,390,205
of 25,109,675 outputs
Outputs from Annual Review of Public Health
#323
of 845 outputs
Outputs of similar age
#8,838
of 100,268 outputs
Outputs of similar age from Annual Review of Public Health
#11
of 22 outputs
Altmetric has tracked 25,109,675 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 845 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 42.9. This one has gotten more attention than average, scoring higher than 61% 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 100,268 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 22 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 54% of its contemporaries.