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X Demographics
Mendeley readers
Attention Score in Context
| 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. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 88 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 | 86 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 23% |
| Student > Master | 12 | 14% |
| Student > Postgraduate | 10 | 11% |
| Student > Ph. D. Student | 9 | 10% |
| Student > Bachelor | 8 | 9% |
| Other | 18 | 20% |
| Unknown | 11 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 36 | 41% |
| Social Sciences | 11 | 13% |
| Computer Science | 5 | 6% |
| Agricultural and Biological Sciences | 3 | 3% |
| Psychology | 3 | 3% |
| Other | 14 | 16% |
| Unknown | 16 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 20 June 2023.
All research outputs
#2,576,917
of 24,860,845 outputs
Outputs from BMC Medical Research Methodology
#388
of 2,216 outputs
Outputs of similar age
#9,296
of 100,684 outputs
Outputs of similar age from BMC Medical Research Methodology
#3
of 10 outputs
Altmetric has tracked 24,860,845 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,216 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has done well, scoring higher than 82% 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 100,684 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 90% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.