↓ Skip to main content

Risk factors and prediction model for low-birth-weight infants born to women with gestational diabetes mellitus

Overview of attention for article published in Frontiers in Public Health, October 2024
Altmetric Badge

Mentioned by

twitter
1 X user
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Risk factors and prediction model for low-birth-weight infants born to women with gestational diabetes mellitus
Published in
Frontiers in Public Health, October 2024
DOI 10.3389/fpubh.2024.1432033
Authors

Pan, Yu-qing, Huang, Xin-xin, Jiang, Xiu-min

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

X Demographics

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.
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.
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 11 October 2024.
All research outputs
#24,042,821
of 26,764,666 outputs
Outputs from Frontiers in Public Health
#10,784
of 15,167 outputs
Outputs of similar age
#106,257
of 136,295 outputs
Outputs of similar age from Frontiers in Public Health
#71
of 120 outputs
Altmetric has tracked 26,764,666 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 15,167 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. 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 136,295 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 120 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.