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Predictive model for BNT162b2 vaccine response in cancer patients based on blood cytokines and growth factors

Overview of attention for article published in Frontiers in immunology, December 2022
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3 X users

Citations

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26 Mendeley
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Title
Predictive model for BNT162b2 vaccine response in cancer patients based on blood cytokines and growth factors
Published in
Frontiers in immunology, December 2022
DOI 10.3389/fimmu.2022.1062136
Pubmed ID
Authors

Angelina Konnova, Fien H. R. De Winter, Akshita Gupta, Lise Verbruggen, An Hotterbeekx, Matilda Berkell, Laure-Anne Teuwen, Greetje Vanhoutte, Bart Peeters, Silke Raats, Isolde Van der Massen, Sven De Keersmaecker, Yana Debie, Manon Huizing, Pieter Pannus, Kristof Y. Neven, Kevin K. Ariën, Geert A. Martens, Marc Van Den Bulcke, Ella Roelant, Isabelle Desombere, Sébastien Anguille, Zwi Berneman, Maria E. Goossens, Herman Goossens, Surbhi Malhotra-Kumar, Evelina Tacconelli, Timon Vandamme, Marc Peeters, Peter van Dam, Samir Kumar-Singh

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 8%
Professor > Associate Professor 2 8%
Student > Master 2 8%
Researcher 2 8%
Student > Ph. D. Student 2 8%
Other 3 12%
Unknown 13 50%
Readers by discipline Count As %
Unspecified 4 15%
Agricultural and Biological Sciences 2 8%
Engineering 2 8%
Immunology and Microbiology 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Other 2 8%
Unknown 14 54%
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 15 August 2023.
All research outputs
#20,591,909
of 26,180,771 outputs
Outputs from Frontiers in immunology
#23,321
of 33,036 outputs
Outputs of similar age
#344,783
of 490,017 outputs
Outputs of similar age from Frontiers in immunology
#1,256
of 1,695 outputs
Altmetric has tracked 26,180,771 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 33,036 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one is in the 22nd percentile – i.e., 22% 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 490,017 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,695 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.