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Lipid accumulation product is an effective predictor of metabolic syndrome in non-obese women with polycystic ovary syndrome

Overview of attention for article published in Frontiers in endocrinology, January 2024
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
12 Mendeley
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Title
Lipid accumulation product is an effective predictor of metabolic syndrome in non-obese women with polycystic ovary syndrome
Published in
Frontiers in endocrinology, January 2024
DOI 10.3389/fendo.2023.1279978
Pubmed ID
Authors

Wenju Han, Meiwei Zhang, Haiyan Wang, Yitian Yang, Lei Wang

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 17%
Lecturer > Senior Lecturer 1 8%
Unspecified 1 8%
Student > Ph. D. Student 1 8%
Other 1 8%
Other 1 8%
Unknown 5 42%
Readers by discipline Count As %
Medicine and Dentistry 4 33%
Unspecified 1 8%
Biochemistry, Genetics and Molecular Biology 1 8%
Environmental Science 1 8%
Unknown 5 42%
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 January 2024.
All research outputs
#21,423,028
of 26,289,377 outputs
Outputs from Frontiers in endocrinology
#7,125
of 13,409 outputs
Outputs of similar age
#266,653
of 377,784 outputs
Outputs of similar age from Frontiers in endocrinology
#275
of 652 outputs
Altmetric has tracked 26,289,377 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,409 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 33rd percentile – i.e., 33% 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 377,784 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 652 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.