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Changes in population characteristics and their implication on public health research

Overview of attention for article published in Epidemiologic Perspectives & Innovations, July 2007
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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 (71st percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
19 Mendeley
citeulike
1 CiteULike
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Title
Changes in population characteristics and their implication on public health research
Published in
Epidemiologic Perspectives & Innovations, July 2007
DOI 10.1186/1742-5573-4-6
Pubmed ID
Authors

Ping Du, F Bruce Coles, Patricia O'Campo, Louise-Anne McNutt

Abstract

Population estimates are generally drawn from one point in time to study disease trends over time; changes in population characteristics over time are usually not assessed and included in the study design. We evaluated whether population characteristics remained static and assessed the degree of population shifts over time. The analysis was based on the New York State 1990 and 2000 census data with adjustments for changes in geographic boundaries. Differences in census tract information were quantified by calculating the mean, median, standard deviation, and the percent of change for each population characteristic. Between 1990 and 2000, positive and negative fluctuations in population size created a U-shaped bimodal pattern of population change which increased the disparities in demographics and socioeconomic status for many census tracts. While 268 (10%) census tracts contracted by 10%, twice as many census tracts (21%, N = 557) grew at least 10%. Notably, the non-Hispanic African-American population grew 10% or more in 152 tracts. Although there were overall reductions in working class and undereducated populations and gains in incomes, most census tracts experienced growing income inequalities and an increased poverty rate. These changes were most pronounced in urban census tracts. Differences in population characteristics in a decade showed growing disparities in demographics and socioeconomic status. This study elucidates that important population shifts should be taken into account when conducting longitudinal research.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 5%
South Africa 1 5%
Unknown 17 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 16%
Professor > Associate Professor 3 16%
Student > Bachelor 2 11%
Researcher 2 11%
Student > Master 2 11%
Other 4 21%
Unknown 3 16%
Readers by discipline Count As %
Medicine and Dentistry 6 32%
Nursing and Health Professions 2 11%
Psychology 2 11%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Agricultural and Biological Sciences 1 5%
Other 3 16%
Unknown 4 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 October 2010.
All research outputs
#4,677,977
of 22,709,015 outputs
Outputs from Epidemiologic Perspectives & Innovations
#15
of 36 outputs
Outputs of similar age
#13,004
of 67,972 outputs
Outputs of similar age from Epidemiologic Perspectives & Innovations
#2
of 3 outputs
Altmetric has tracked 22,709,015 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 36 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one scored the same or higher as 21 of them.
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 67,972 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.