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Transcriptional Profiling and Machine Learning Unveil a Concordant Biosignature of Type I Interferon-Inducible Host Response Across Nasal Swab and Pulmonary Tissue for COVID-19 Diagnosis

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

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

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5 X users

Citations

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22 Dimensions

Readers on

mendeley
36 Mendeley
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Title
Transcriptional Profiling and Machine Learning Unveil a Concordant Biosignature of Type I Interferon-Inducible Host Response Across Nasal Swab and Pulmonary Tissue for COVID-19 Diagnosis
Published in
Frontiers in immunology, November 2021
DOI 10.3389/fimmu.2021.733171
Pubmed ID
Authors

Cheng Zhang, Yi-Gang Feng, Chiwing Tam, Ning Wang, Yibin Feng

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 19%
Student > Bachelor 4 11%
Researcher 3 8%
Student > Ph. D. Student 3 8%
Student > Postgraduate 2 6%
Other 3 8%
Unknown 14 39%
Readers by discipline Count As %
Medicine and Dentistry 9 25%
Biochemistry, Genetics and Molecular Biology 4 11%
Computer Science 2 6%
Economics, Econometrics and Finance 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 4 11%
Unknown 14 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 17 February 2022.
All research outputs
#8,270,333
of 25,392,582 outputs
Outputs from Frontiers in immunology
#10,121
of 31,541 outputs
Outputs of similar age
#174,453
of 514,001 outputs
Outputs of similar age from Frontiers in immunology
#503
of 1,445 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 31,541 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. 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 514,001 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 65% of its contemporaries.
We're also able to compare this research output to 1,445 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 63% of its contemporaries.