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Single Cell and Spatial Transcriptomics Defines the Cellular Architecture of the Antimicrobial Response Network in Human Leprosy Granulomas

Overview of attention for article published in bioRxiv, December 2020
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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 (52nd percentile)

Mentioned by

twitter
9 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
13 Mendeley
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Title
Single Cell and Spatial Transcriptomics Defines the Cellular Architecture of the Antimicrobial Response Network in Human Leprosy Granulomas
Published in
bioRxiv, December 2020
DOI 10.1101/2020.12.01.406819
Authors

Feiyang Ma, Travis K. Hughes, Rosane M.B. Teles, Priscila R. Andrade, Bruno J. de Andrade Silva, Olesya Plazyo, Lam C. Tsoi, Tran Do, Marc H Wadsworth, Aislyn Oulee, Maria Teresa Ochoa, Euzenir N. Sarno, M. Luisa Iruela-Arispe, Bryan Bryson, Alex K. Shalek, Barry R. Bloom, Johann E. Gudjonsson, Matteo Pellegrini, Robert L. Modlin

Twitter Demographics

The data shown below were collected from the profiles of 9 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 23%
Researcher 2 15%
Professor > Associate Professor 2 15%
Professor 1 8%
Student > Doctoral Student 1 8%
Other 3 23%
Unknown 1 8%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 23%
Agricultural and Biological Sciences 2 15%
Immunology and Microbiology 1 8%
Unspecified 1 8%
Medicine and Dentistry 1 8%
Other 2 15%
Unknown 3 23%

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 03 December 2020.
All research outputs
#4,976,738
of 17,854,173 outputs
Outputs from bioRxiv
#65,378
of 123,034 outputs
Outputs of similar age
#142,943
of 415,314 outputs
Outputs of similar age from bioRxiv
#4,022
of 8,459 outputs
Altmetric has tracked 17,854,173 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 123,034 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
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 415,314 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 8,459 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 52% of its contemporaries.