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microRNA-Based Network and Pathway Analysis for Neuropathic Pain in Rodent Models

Overview of attention for article published in Frontiers in Molecular Biosciences, January 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
8 Mendeley
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Title
microRNA-Based Network and Pathway Analysis for Neuropathic Pain in Rodent Models
Published in
Frontiers in Molecular Biosciences, January 2022
DOI 10.3389/fmolb.2021.780730
Pubmed ID
Authors

Yi-Li Zheng, Xuan Su, Yu-Meng Chen, Jia-Bao Guo, Ge Song, Zheng Yang, Pei-Jie Chen, Xue-Qiang Wang

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 13%
Student > Ph. D. Student 1 13%
Student > Doctoral Student 1 13%
Unknown 5 63%
Readers by discipline Count As %
Medicine and Dentistry 2 25%
Nursing and Health Professions 1 13%
Unknown 5 63%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 07 February 2022.
All research outputs
#14,405,127
of 23,072,295 outputs
Outputs from Frontiers in Molecular Biosciences
#1,151
of 3,899 outputs
Outputs of similar age
#243,690
of 507,111 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#109
of 409 outputs
Altmetric has tracked 23,072,295 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,899 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 66% of its peers.
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 507,111 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 409 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 68% of its contemporaries.