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United States Census 2000 population with bridged race categories.

Overview of attention for article published in Vital and health statistics. Series 2, Data evaluation and methods research [Vital Health Stat 2] NLMUID: 0330122, September 2003
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  • Good Attention Score compared to outputs of the same age (70th percentile)

Mentioned by

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1 blog

Citations

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182 Dimensions

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24 Mendeley
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Title
United States Census 2000 population with bridged race categories.
Published in
Vital and health statistics. Series 2, Data evaluation and methods research [Vital Health Stat 2] NLMUID: 0330122, September 2003
Pubmed ID
Authors

Deborah D Ingram, Jennifer D Parker, Nathaniel Schenker, James A Weed, Brady Hamilton, Elizabeth Arias, Jennifer H Madans

Abstract

The objectives of this report are to document the methods developed at the National Center for Health Statistics (NCHS) to bridge the Census 2000 multiple-race resident population to single-race categories and to describe the resulting bridged race resident population estimates. Data from the pooled 1997-2000 National Health Interview Surveys (NHIS) were used to develop models for bridging the Census 2000 multiple-race population to single-race categories. The bridging models included demographic and contextual covariates, some at the person-level and some at the county-level. Allocation probabilities were obtained from the regression models and applied to the Census Bureau's April 1, 2000, Modified Race Data Summary File population counts to assign multiple-race persons to single-race categories. Bridging has the most impact on the American Indian and Alaska Native (AIAN) and Asian or Pacific Islander (API) populations, a small impact on the Black population and a negligible impact on the White population. For the United States as a whole, the AIAN, API, Black, and White bridged population counts are 12.0, 5.0, 2.5, and 0.5 percent higher than the corresponding Census 2000 single-race counts. At the sub-national level, there is considerably more variation than observed at the national level. The bridged single-race population counts have been used to calculate birth and death rates produced by NCHS for 2000 and 2001 and to revise previously published rates for the 1990s, 2000, and 2001. The bridging methodology will be used to bridge postcensal population estimates for later years. The bridged population counts presented here and in subsequent years may be updated as additional data become available for use in the bridging process.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Unknown 23 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 38%
Researcher 4 17%
Student > Master 3 13%
Student > Bachelor 3 13%
Student > Doctoral Student 2 8%
Other 2 8%
Unknown 1 4%
Readers by discipline Count As %
Social Sciences 4 17%
Engineering 4 17%
Medicine and Dentistry 4 17%
Psychology 2 8%
Nursing and Health Professions 2 8%
Other 7 29%
Unknown 1 4%
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 03 May 2014.
All research outputs
#6,567,395
of 25,377,790 outputs
Outputs from Vital and health statistics. Series 2, Data evaluation and methods research [Vital Health Stat 2] NLMUID: 0330122
#6
of 13 outputs
Outputs of similar age
#16,062
of 53,936 outputs
Outputs of similar age from Vital and health statistics. Series 2, Data evaluation and methods research [Vital Health Stat 2] NLMUID: 0330122
#1
of 1 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 13 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one scored the same or higher as 7 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 53,936 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 70% 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