| Title |
Medication Use During Pregnancy in Mainland China: A Cross-Sectional Analysis of a National Health Insurance Database
|
|---|---|
| Published in |
Clinical Epidemiology, December 2019
|
| DOI | 10.2147/clep.s230589 |
| Pubmed ID | |
| Authors |
Jingyuan Zhang, Carolina Oi Lam Ung, Anita Katharina Wagner, Xiaodong Guan, Luwen Shi |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 23% |
| Student > Bachelor | 2 | 8% |
| Researcher | 2 | 8% |
| Student > Master | 2 | 8% |
| Lecturer | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 13 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 15% |
| Medicine and Dentistry | 4 | 15% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Nursing and Health Professions | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 15 | 58% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 14 December 2019.
All research outputs
#13,310,255
of 23,182,015 outputs
Outputs from Clinical Epidemiology
#357
of 729 outputs
Outputs of similar age
#213,887
of 459,472 outputs
Outputs of similar age from Clinical Epidemiology
#10
of 19 outputs
Altmetric has tracked 23,182,015 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 729 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 49th percentile – i.e., 49% 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 459,472 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.