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Two new models for survey sampling with sensitive characteristic: design and analysis

Overview of attention for article published in Metrika, April 2007
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#1 of 128)
  • High Attention Score compared to outputs of the same age (93rd percentile)

Mentioned by

policy
4 policy sources
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
170 Dimensions

Readers on

mendeley
65 Mendeley
Title
Two new models for survey sampling with sensitive characteristic: design and analysis
Published in
Metrika, April 2007
DOI 10.1007/s00184-007-0131-x
Authors

Jun-Wu Yu, Guo-Liang Tian, Man-Lai Tang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Germany 1 2%
Unknown 62 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 14%
Student > Bachelor 9 14%
Student > Master 7 11%
Student > Doctoral Student 5 8%
Researcher 5 8%
Other 15 23%
Unknown 15 23%
Readers by discipline Count As %
Psychology 15 23%
Social Sciences 8 12%
Environmental Science 6 9%
Business, Management and Accounting 4 6%
Economics, Econometrics and Finance 3 5%
Other 9 14%
Unknown 20 31%
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 05 October 2023.
All research outputs
#2,338,476
of 25,443,857 outputs
Outputs from Metrika
#1
of 128 outputs
Outputs of similar age
#5,480
of 87,935 outputs
Outputs of similar age from Metrika
#1
of 1 outputs
Altmetric has tracked 25,443,857 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 128 research outputs from this source. They receive a mean Attention Score of 1.7. This one has done particularly well, scoring higher than 99% 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 87,935 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 93% 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