| Title |
Applying a common data model to Asian databases for multinational pharmacoepidemiologic studies: opportunities and challenges
|
|---|---|
| Published in |
Clinical Epidemiology, July 2018
|
| DOI | 10.2147/clep.s149961 |
| Pubmed ID | |
| Authors |
Edward Chia-Cheng Lai, Patrick Ryan, Yinghong Zhang, Martijn Schuemie, N Chantelle Hardy, Yukari Kamijima, Shinya Kimura, Kiyoshi Kubota, Kenneth KC Man, Soo Yeon Cho, Rae Woong Park, Paul Stang, Chien-Chou Su, Ian CK Wong, Yea-Huei Yang Kao, Soko Setoguchi |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 17% |
| Student > Master | 7 | 17% |
| Other | 3 | 7% |
| Student > Ph. D. Student | 3 | 7% |
| Student > Doctoral Student | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 15 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 12% |
| Business, Management and Accounting | 3 | 7% |
| Agricultural and Biological Sciences | 3 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 7% |
| Computer Science | 2 | 5% |
| Other | 9 | 21% |
| Unknown | 17 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 21 August 2018.
All research outputs
#20,530,891
of 23,100,534 outputs
Outputs from Clinical Epidemiology
#669
of 727 outputs
Outputs of similar age
#287,605
of 328,117 outputs
Outputs of similar age from Clinical Epidemiology
#26
of 27 outputs
Altmetric has tracked 23,100,534 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 727 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 328,117 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.