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Multicohort Analysis Identifies Monocyte Gene Signatures to Accurately Monitor Subset-Specific Changes in Human Diseases

Overview of attention for article published in Frontiers in immunology, May 2021
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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3 X users

Citations

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8 Dimensions

Readers on

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10 Mendeley
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Title
Multicohort Analysis Identifies Monocyte Gene Signatures to Accurately Monitor Subset-Specific Changes in Human Diseases
Published in
Frontiers in immunology, May 2021
DOI 10.3389/fimmu.2021.659255
Pubmed ID
Authors

Francesco Vallania, Liron Zisman, Claudia Macaubas, Shu-Chen Hung, Narendiran Rajasekaran, Sonia Mason, Jonathan Graf, Mary Nakamura, Elizabeth D. Mellins, Purvesh Khatri

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 30%
Unspecified 1 10%
Student > Doctoral Student 1 10%
Other 1 10%
Student > Bachelor 1 10%
Other 1 10%
Unknown 2 20%
Readers by discipline Count As %
Immunology and Microbiology 4 40%
Agricultural and Biological Sciences 1 10%
Unspecified 1 10%
Neuroscience 1 10%
Design 1 10%
Other 0 0%
Unknown 2 20%
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 01 June 2021.
All research outputs
#15,181,325
of 25,387,668 outputs
Outputs from Frontiers in immunology
#14,214
of 31,541 outputs
Outputs of similar age
#222,606
of 454,484 outputs
Outputs of similar age from Frontiers in immunology
#690
of 1,375 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
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 52% 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 454,484 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,375 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.