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GNAS locus: bone related diseases and mouse models

Overview of attention for article published in Frontiers in endocrinology, October 2023
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1 X user

Citations

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3 Dimensions

Readers on

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7 Mendeley
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Title
GNAS locus: bone related diseases and mouse models
Published in
Frontiers in endocrinology, October 2023
DOI 10.3389/fendo.2023.1255864
Pubmed ID
Authors

Wan Yang, Yiyi Zuo, Nuo Zhang, Kangning Wang, Runze Zhang, Ziyi Chen, Qing He

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 29%
Student > Bachelor 1 14%
Unspecified 1 14%
Unknown 3 43%
Readers by discipline Count As %
Unspecified 1 14%
Biochemistry, Genetics and Molecular Biology 1 14%
Economics, Econometrics and Finance 1 14%
Medicine and Dentistry 1 14%
Unknown 3 43%
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 18 October 2023.
All research outputs
#23,828,233
of 26,522,299 outputs
Outputs from Frontiers in endocrinology
#9,202
of 13,615 outputs
Outputs of similar age
#311,918
of 372,517 outputs
Outputs of similar age from Frontiers in endocrinology
#375
of 746 outputs
Altmetric has tracked 26,522,299 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 13,615 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. 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 372,517 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 746 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.