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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An early model to predict the risk of gestational diabetes mellitus in the absence of blood examination indexes: application in primary health care centres
|
|---|---|
| Published in |
BMC Pregnancy and Childbirth, December 2021
|
| DOI | 10.1186/s12884-021-04295-2 |
| Pubmed ID | |
| Authors |
Jingyuan Wang, Bohan Lv, Xiujuan Chen, Yueshuai Pan, Kai Chen, Yan Zhang, Qianqian Li, Lili Wei, Yan Liu |
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 % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 74 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 8 | 11% |
| Student > Master | 6 | 8% |
| Researcher | 4 | 5% |
| Student > Postgraduate | 4 | 5% |
| Student > Doctoral Student | 2 | 3% |
| Other | 6 | 8% |
| Unknown | 44 | 59% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 19% |
| Nursing and Health Professions | 5 | 7% |
| Computer Science | 5 | 7% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Engineering | 2 | 3% |
| Other | 3 | 4% |
| Unknown | 43 | 58% |
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 January 2022.
All research outputs
#21,264,673
of 23,881,329 outputs
Outputs from BMC Pregnancy and Childbirth
#3,970
of 4,379 outputs
Outputs of similar age
#424,691
of 517,768 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#87
of 107 outputs
Altmetric has tracked 23,881,329 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 4,379 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. 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 517,768 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 107 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.