Report for: Identification of driver genes for critical forms of COVID-19 in a deeply phenotyped young patient cohort

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Title	Identification of driver genes for critical forms of COVID-19 in a deeply phenotyped young patient cohort
Published in	Science Translational Medicine, January 2022
DOI	10.1126/scitranslmed.abj7521
Pubmed ID	34698500
Authors	Raphael Carapito, Richard Li, Julie Helms, Christine Carapito, Sharvari Gujja, Véronique Rolli, Raony Guimaraes, Jose Malagon-Lopez, Perrine Spinnhirny, Alexandre Lederle, Razieh Mohseninia, Aurélie Hirschler, Leslie Muller, Paul Bastard, Adrian Gervais, Qian Zhang, François Danion, Yvon Ruch, Maleka Schenck, Olivier Collange, Thiên-Nga Chamaraux-Tran, Anne Molitor, Angélique Pichot, Alice Bernard, Ouria Tahar, Sabrina Bibi-Triki, Haiguo Wu, Nicodème Paul, Sylvain Mayeur, Annabel Larnicol, Géraldine Laumond, Julia Frappier, Sylvie Schmidt, Antoine Hanauer, Cécile Macquin, Tristan Stemmelen, Michael Simons, Xavier Mariette, Olivier Hermine, Samira Fafi-Kremer, Bernard Goichot, Bernard Drenou, Khaldoun Kuteifan, Julien Pottecher, Paul-Michel Mertes, Shweta Kailasan, M. Javad Aman, Elisa Pin, Peter Nilsson, Anne Thomas, Alain Viari, Damien Sanlaville, Francis Schneider, Jean Sibilia, Pierre-Louis Tharaux, Jean-Laurent Casanova, Yves Hansmann, Daniel Lidar, Mirjana Radosavljevic, Jeffrey R. Gulcher, Ferhat Meziani, Christiane Moog, Thomas W. Chittenden, Seiamak Bahram

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Twitter Demographics

The data shown below were collected from the profiles of 1,823 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Geographical breakdown

Country	Count	As %
Thailand	272	15%
United States	123	7%
France	23	1%
Spain	23	1%
United Kingdom	22	1%
Canada	15	<1%
Japan	8	<1%
Germany	8	<1%
Ireland	7	<1%
Other	99	5%
Unknown	1223	67%

Demographic breakdown

Type	Count	As %
Members of the public	1667	91%
Scientists	105	6%
Practitioners (doctors, other healthcare professionals)	40	2%
Science communicators (journalists, bloggers, editors)	11	<1%

Mendeley readers

The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country	Count	As %
Unknown	106	100%

Demographic breakdown

Readers by professional status	Count	As %
Researcher	22	21%
Student > Master	10	9%
Other	8	8%
Student > Ph. D. Student	7	7%
Student > Bachelor	6	6%
Other	20	19%
Unknown	33	31%

Readers by discipline	Count	As %
Biochemistry, Genetics and Molecular Biology	21	20%
Medicine and Dentistry	12	11%
Immunology and Microbiology	7	7%
Agricultural and Biological Sciences	6	6%
Computer Science	3	3%
Other	22	21%
Unknown	35	33%

Attention Score in Context

This research output has an Altmetric Attention Score of 1100. 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 07 May 2023.

All research outputs

#12,141

of 23,864,690 outputs

Outputs from Science Translational Medicine

#39

of 5,212 outputs

Outputs of similar age

#524

of 514,362 outputs

Outputs of similar age from Science Translational Medicine

of 78 outputs

Altmetric has tracked 23,864,690 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.

So far Altmetric has tracked 5,212 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 83.9. This one has done particularly well, scoring higher than 99% 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 514,362 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.

We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.

Identification of driver genes for critical forms of COVID-19 in a deeply phenotyped young patient cohort

About this Attention Score

Mentioned by

Citations

Readers on

Twitter Demographics

Geographical breakdown

Demographic breakdown

Mendeley readers

Geographical breakdown

Demographic breakdown

Attention Score in Context