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TRAF-STOP alleviates osteoclastogenesis in periodontitis

Overview of attention for article published in Frontiers in Pharmacology, May 2023
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1 X user

Citations

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1 Dimensions

Readers on

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5 Mendeley
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Title
TRAF-STOP alleviates osteoclastogenesis in periodontitis
Published in
Frontiers in Pharmacology, May 2023
DOI 10.3389/fphar.2023.1119847
Pubmed ID
Authors

Yaxian Huang, Jinyan Wu, Chi Zhan, Rong Liu, Zhaocai Zhou, Xin Huang, Yaguang Tian, Zhengmei Lin, Zhi Song

Timeline

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

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 40%
Student > Bachelor 1 20%
Unknown 2 40%
Readers by discipline Count As %
Medicine and Dentistry 3 60%
Unknown 2 40%
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 15 May 2023.
All research outputs
#21,114,028
of 23,764,938 outputs
Outputs from Frontiers in Pharmacology
#11,031
of 17,411 outputs
Outputs of similar age
#155,144
of 198,996 outputs
Outputs of similar age from Frontiers in Pharmacology
#240
of 404 outputs
Altmetric has tracked 23,764,938 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 17,411 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. 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 198,996 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 404 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.