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Simultaneous quantification of natural and inducible regulatory T-cell subsets during interferon-β therapy of multiple sclerosis patients

Overview of attention for article published in Journal of Translational Medicine, April 2020
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1 X user

Citations

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19 Mendeley
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Title
Simultaneous quantification of natural and inducible regulatory T-cell subsets during interferon-β therapy of multiple sclerosis patients
Published in
Journal of Translational Medicine, April 2020
DOI 10.1186/s12967-020-02329-5
Pubmed ID
Authors

Marco Chiarini, Ruggero Capra, Federico Serana, Diego Bertoli, Alessandra Sottini, Viviana Giustini, Cristina Scarpazza, Marco Rovaris, Valentina Torri Clerici, Diana Ferraro, Simonetta Galgani, Claudio Solaro, Marta Zaffira Conti, Andrea Visconti, Luisa Imberti

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X Demographics

The data shown below were collected from the profile of 1 X user 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 21%
Student > Bachelor 3 16%
Student > Doctoral Student 2 11%
Librarian 1 5%
Student > Master 1 5%
Other 1 5%
Unknown 7 37%
Readers by discipline Count As %
Medicine and Dentistry 5 26%
Immunology and Microbiology 2 11%
Neuroscience 2 11%
Sports and Recreations 1 5%
Social Sciences 1 5%
Other 1 5%
Unknown 7 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 20 April 2020.
All research outputs
#20,613,214
of 23,202,641 outputs
Outputs from Journal of Translational Medicine
#3,375
of 4,079 outputs
Outputs of similar age
#293,830
of 343,796 outputs
Outputs of similar age from Journal of Translational Medicine
#56
of 63 outputs
Altmetric has tracked 23,202,641 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,079 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 1st percentile – i.e., 1% 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 343,796 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.