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Gene expression signature of human neuropathic pain identified through transcriptome analysis

Overview of attention for article published in Frontiers in Genetics, February 2023
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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 (66th percentile)

Mentioned by

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2 X users

Citations

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3 Dimensions

Readers on

mendeley
4 Mendeley
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Title
Gene expression signature of human neuropathic pain identified through transcriptome analysis
Published in
Frontiers in Genetics, February 2023
DOI 10.3389/fgene.2023.1127167
Pubmed ID
Authors

Ling Hu, Wei Yin, Yao Ma, Qiushi Zhang, Qingbang 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 50%
Researcher 1 25%
Student > Master 1 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 50%
Nursing and Health Professions 1 25%
Neuroscience 1 25%
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 24 February 2023.
All research outputs
#15,236,451
of 23,420,064 outputs
Outputs from Frontiers in Genetics
#4,653
of 12,444 outputs
Outputs of similar age
#199,213
of 410,798 outputs
Outputs of similar age from Frontiers in Genetics
#142
of 649 outputs
Altmetric has tracked 23,420,064 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,444 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 55% 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 410,798 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 649 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 66% of its contemporaries.