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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
Aggregation of Asian-American subgroups masks meaningful differences in health and health risks among Asian ethnicities: an electronic health record based cohort study
|
|---|---|
| Published in |
BMC Public Health, November 2019
|
| DOI | 10.1186/s12889-019-7683-3 |
| Pubmed ID | |
| Authors |
Nancy P. Gordon, Teresa Y. Lin, Jyoti Rau, Joan C. Lo |
Twitter Demographics
The data shown below were collected from the profiles of 19 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 11 | 58% |
| Canada | 1 | 5% |
| Netherlands | 1 | 5% |
| Philippines | 1 | 5% |
| Kenya | 1 | 5% |
| France | 1 | 5% |
| Unknown | 3 | 16% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 63% |
| Scientists | 5 | 26% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 110 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 17 | 15% |
| Student > Bachelor | 14 | 13% |
| Student > Ph. D. Student | 13 | 12% |
| Student > Doctoral Student | 8 | 7% |
| Other | 4 | 4% |
| Other | 14 | 13% |
| Unknown | 40 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 18 | 16% |
| Medicine and Dentistry | 13 | 12% |
| Social Sciences | 7 | 6% |
| Biochemistry, Genetics and Molecular Biology | 4 | 4% |
| Neuroscience | 3 | 3% |
| Other | 18 | 16% |
| Unknown | 47 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 149. 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 17 July 2023.
All research outputs
#258,736
of 24,279,062 outputs
Outputs from BMC Public Health
#226
of 16,005 outputs
Outputs of similar age
#6,188
of 465,931 outputs
Outputs of similar age from BMC Public Health
#9
of 359 outputs
Altmetric has tracked 24,279,062 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,005 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has done particularly well, scoring higher than 98% 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 465,931 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 98% of its contemporaries.
We're also able to compare this research output to 359 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 97% of its contemporaries.