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Application Value of Predictive Model Based on Maternal Coagulation Function and Glycolipid Metabolism Indicators in Early Diagnosis of Gestational Diabetes Mellitus

Overview of attention for article published in Frontiers in Public Health, March 2022
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users

Citations

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10 Dimensions

Readers on

mendeley
16 Mendeley
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Title
Application Value of Predictive Model Based on Maternal Coagulation Function and Glycolipid Metabolism Indicators in Early Diagnosis of Gestational Diabetes Mellitus
Published in
Frontiers in Public Health, March 2022
DOI 10.3389/fpubh.2022.850191
Pubmed ID
Authors

Ying Zheng, Weiwei Hou, Jing Xiao, Hongling Huang, Wenqiang Quan, Yu Chen

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 6%
Student > Bachelor 1 6%
Student > Postgraduate 1 6%
Student > Master 1 6%
Unknown 12 75%
Readers by discipline Count As %
Medicine and Dentistry 2 13%
Business, Management and Accounting 1 6%
Nursing and Health Professions 1 6%
Unknown 12 75%
Attention Score in Context

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 March 2022.
All research outputs
#18,876,871
of 23,390,392 outputs
Outputs from Frontiers in Public Health
#6,203
of 10,951 outputs
Outputs of similar age
#317,102
of 440,541 outputs
Outputs of similar age from Frontiers in Public Health
#497
of 985 outputs
Altmetric has tracked 23,390,392 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,951 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one is in the 26th percentile – i.e., 26% 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 440,541 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 985 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.