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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
The re-identification risk of Canadians from longitudinal demographics
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, June 2011
|
| DOI | 10.1186/1472-6947-11-46 |
| Pubmed ID | |
| Authors |
Khaled El Emam, David Buckeridge, Robyn Tamblyn, Angelica Neisa, Elizabeth Jonker, Aman Verma |
Twitter Demographics
The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 20% |
| Australia | 1 | 20% |
| Canada | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Australia | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 47 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 20% |
| Student > Ph. D. Student | 9 | 18% |
| Student > Bachelor | 7 | 14% |
| Researcher | 7 | 14% |
| Professor | 3 | 6% |
| Other | 10 | 20% |
| Unknown | 4 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 28% |
| Computer Science | 10 | 20% |
| Social Sciences | 5 | 10% |
| Nursing and Health Professions | 3 | 6% |
| Business, Management and Accounting | 3 | 6% |
| Other | 8 | 16% |
| Unknown | 7 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 November 2014.
All research outputs
#1,707,304
of 23,294,050 outputs
Outputs from BMC Medical Informatics and Decision Making
#86
of 2,024 outputs
Outputs of similar age
#7,726
of 116,291 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#2
of 20 outputs
Altmetric has tracked 23,294,050 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,024 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 95% 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 116,291 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 20 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.