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The Integrated Transcriptome Bioinformatics Analysis Identifies Key Genes and Cellular Components for Spinal Cord Injury-Related Neuropathic Pain

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, February 2020
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

twitter
10 X users

Citations

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8 Dimensions

Readers on

mendeley
40 Mendeley
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Title
The Integrated Transcriptome Bioinformatics Analysis Identifies Key Genes and Cellular Components for Spinal Cord Injury-Related Neuropathic Pain
Published in
Frontiers in Bioengineering and Biotechnology, February 2020
DOI 10.3389/fbioe.2020.00101
Pubmed ID
Authors

Runzhi Huang, Tong Meng, Rui Zhu, Lijuan Zhao, Dianwen Song, Huabin Yin, Zongqiang Huang, Liming Cheng, Jie Zhang

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 15%
Student > Master 5 13%
Student > Postgraduate 3 8%
Student > Ph. D. Student 3 8%
Student > Doctoral Student 2 5%
Other 6 15%
Unknown 15 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 20%
Neuroscience 3 8%
Pharmacology, Toxicology and Pharmaceutical Science 3 8%
Medicine and Dentistry 3 8%
Computer Science 2 5%
Other 7 18%
Unknown 14 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 March 2020.
All research outputs
#6,888,050
of 24,943,708 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#1,045
of 8,156 outputs
Outputs of similar age
#120,066
of 366,589 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#82
of 308 outputs
Altmetric has tracked 24,943,708 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 8,156 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 86% 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 366,589 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 308 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 73% of its contemporaries.