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Metabolomic Profiling of Poor Ovarian Response Identifies Potential Predictive Biomarkers

Overview of attention for article published in Frontiers in endocrinology, November 2021
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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
3 Mendeley
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Title
Metabolomic Profiling of Poor Ovarian Response Identifies Potential Predictive Biomarkers
Published in
Frontiers in endocrinology, November 2021
DOI 10.3389/fendo.2021.774667
Pubmed ID
Authors

Haixia Song, Qin Qin, Caixia Yuan, Hong Li, Fang Zhang, Lingling Fan

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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 33%
Unknown 2 67%
Readers by discipline Count As %
Unspecified 1 33%
Unknown 2 67%
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 10 December 2021.
All research outputs
#20,669,432
of 25,392,582 outputs
Outputs from Frontiers in endocrinology
#6,741
of 13,025 outputs
Outputs of similar age
#386,723
of 514,256 outputs
Outputs of similar age from Frontiers in endocrinology
#324
of 558 outputs
Altmetric has tracked 25,392,582 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 13,025 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 36th percentile – i.e., 36% 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 514,256 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 558 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.