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Differential Co-Expression Network Analysis Reveals Key Hub-High Traffic Genes as Potential Therapeutic Targets for COVID-19 Pandemic

Overview of attention for article published in Frontiers in immunology, December 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
41 Dimensions

Readers on

mendeley
84 Mendeley
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Title
Differential Co-Expression Network Analysis Reveals Key Hub-High Traffic Genes as Potential Therapeutic Targets for COVID-19 Pandemic
Published in
Frontiers in immunology, December 2021
DOI 10.3389/fimmu.2021.789317
Pubmed ID
Authors

Aliakbar Hasankhani, Abolfazl Bahrami, Negin Sheybani, Behzad Aria, Behzad Hemati, Farhang Fatehi, Hamid Ghaem Maghami Farahani, Ghazaleh Javanmard, Mahsa Rezaee, John P. Kastelic, Herman W. Barkema

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 84 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 12%
Student > Ph. D. Student 9 11%
Student > Bachelor 7 8%
Student > Master 6 7%
Professor 4 5%
Other 13 15%
Unknown 35 42%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 19%
Medicine and Dentistry 10 12%
Computer Science 4 5%
Business, Management and Accounting 3 4%
Agricultural and Biological Sciences 2 2%
Other 10 12%
Unknown 39 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 12 December 2022.
All research outputs
#5,126,256
of 26,516,527 outputs
Outputs from Frontiers in immunology
#5,794
of 33,348 outputs
Outputs of similar age
#116,574
of 529,526 outputs
Outputs of similar age from Frontiers in immunology
#277
of 1,494 outputs
Altmetric has tracked 26,516,527 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 33,348 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one has done well, scoring higher than 82% 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 529,526 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 1,494 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.