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Typing characteristics of metabolism-related genes in osteoporosis

Overview of attention for article published in Frontiers in Pharmacology, September 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

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2 X users

Citations

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4 Dimensions

Readers on

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5 Mendeley
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Title
Typing characteristics of metabolism-related genes in osteoporosis
Published in
Frontiers in Pharmacology, September 2022
DOI 10.3389/fphar.2022.999157
Pubmed ID
Authors

Jiandong Guo, Qinghua Huang, Yundong Zhou, Yining Xu, Chenyu Zong, Panyang Shen, Yan Ma, Jinxi Zhang, Yongfeng Cui, Liuqian Yu, Jiawei Gao, Gang Liu, Kangmao Huang, Wenbin Xu

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.
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 %
Unknown 5 100%
Readers by discipline Count As %
Arts and Humanities 1 20%
Unknown 4 80%
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 06 October 2022.
All research outputs
#18,282,126
of 23,479,361 outputs
Outputs from Frontiers in Pharmacology
#7,494
of 17,044 outputs
Outputs of similar age
#282,772
of 432,797 outputs
Outputs of similar age from Frontiers in Pharmacology
#548
of 1,529 outputs
Altmetric has tracked 23,479,361 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 17,044 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 48th percentile – i.e., 48% 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 432,797 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,529 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.