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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Ethnic differences translate to inadequacy of high-risk screening for gestational diabetes mellitus in an Asian population: a cohort study
|
|---|---|
| Published in |
BMC Pregnancy and Childbirth, October 2014
|
| DOI | 10.1186/1471-2393-14-345 |
| Pubmed ID | |
| Authors |
Yap-Seng Chong, Shirong Cai, Harvard Lin, Shu E Soh, Yung-Seng Lee, Melvin Khee-Shing Leow, Yiong-Huak Chan, Li Chen, Joanna D Holbrook, Kok-Hian Tan, Victor Samuel Rajadurai, George Seow-Heong Yeo, Michael S Kramer, Seang-Mei Saw, Peter D Gluckman, Keith M Godfrey, Kenneth Kwek |
| Abstract |
Universal and high-risk screening for gestational diabetes mellitus (GDM) has been widely studied and debated. Few studies have assessed GDM screening in Asian populations and even fewer have compared Asian ethnic groups in a single multi-ethnic population. |
X Demographics
The data shown below were collected from the profiles of 4 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 Kingdom | 1 | 25% |
| Ireland | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| United States | 1 | <1% |
| Singapore | 1 | <1% |
| Unknown | 114 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 15% |
| Student > Master | 17 | 15% |
| Student > Ph. D. Student | 13 | 11% |
| Other | 11 | 9% |
| Student > Bachelor | 8 | 7% |
| Other | 22 | 19% |
| Unknown | 28 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 34 | 29% |
| Nursing and Health Professions | 12 | 10% |
| Agricultural and Biological Sciences | 10 | 9% |
| Biochemistry, Genetics and Molecular Biology | 8 | 7% |
| Social Sciences | 4 | 3% |
| Other | 17 | 15% |
| Unknown | 32 | 27% |
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 12 April 2016.
All research outputs
#13,166,490
of 23,310,485 outputs
Outputs from BMC Pregnancy and Childbirth
#2,379
of 4,285 outputs
Outputs of similar age
#115,705
of 254,966 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#48
of 85 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,285 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one is in the 43rd percentile – i.e., 43% 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 254,966 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 54% of its contemporaries.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.