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Surname lists to identify South Asian and Chinese ethnicity from secondary data in Ontario, Canada: a validation study

Overview of attention for article published in BMC Medical Research Methodology, May 2010
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)

Mentioned by

twitter
2 tweeters
wikipedia
9 Wikipedia pages

Citations

dimensions_citation
145 Dimensions

Readers on

mendeley
77 Mendeley
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Title
Surname lists to identify South Asian and Chinese ethnicity from secondary data in Ontario, Canada: a validation study
Published in
BMC Medical Research Methodology, May 2010
DOI 10.1186/1471-2288-10-42
Pubmed ID
Authors

Baiju R Shah, Maria Chiu, Shubarna Amin, Meera Ramani, Sharon Sadry, Jack V Tu

Abstract

Surname lists are useful for identifying cohorts of ethnic minority patients from secondary data sources. This study sought to develop and validate lists to identify people of South Asian and Chinese origin.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 1%
Germany 1 1%
Unknown 75 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 22%
Student > Master 12 16%
Student > Postgraduate 10 13%
Student > Ph. D. Student 9 12%
Professor > Associate Professor 6 8%
Other 15 19%
Unknown 8 10%
Readers by discipline Count As %
Medicine and Dentistry 33 43%
Social Sciences 10 13%
Computer Science 5 6%
Economics, Econometrics and Finance 2 3%
Agricultural and Biological Sciences 2 3%
Other 12 16%
Unknown 13 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 16 March 2020.
All research outputs
#4,469,108
of 17,362,547 outputs
Outputs from BMC Medical Research Methodology
#702
of 1,610 outputs
Outputs of similar age
#37,860
of 158,153 outputs
Outputs of similar age from BMC Medical Research Methodology
#1
of 1 outputs
Altmetric has tracked 17,362,547 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,610 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one has gotten more attention than average, scoring higher than 56% 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 158,153 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 75% 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