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X Demographics
Mendeley readers
Attention Score in Context
| 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 | |
| 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 |
X Demographics
The data shown below were collected from the profiles of 1,772 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Thailand | 254 | 14% |
| United States | 110 | 6% |
| United Kingdom | 25 | 1% |
| France | 25 | 1% |
| Spain | 24 | 1% |
| Canada | 15 | <1% |
| Japan | 8 | <1% |
| India | 7 | <1% |
| Germany | 7 | <1% |
| Other | 87 | 5% |
| Unknown | 1210 | 68% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1619 | 91% |
| Scientists | 105 | 6% |
| Practitioners (doctors, other healthcare professionals) | 36 | 2% |
| Science communicators (journalists, bloggers, editors) | 12 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 128 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 17% |
| Student > Ph. D. Student | 10 | 8% |
| Student > Master | 10 | 8% |
| Other | 9 | 7% |
| Student > Postgraduate | 7 | 5% |
| Other | 21 | 16% |
| Unknown | 49 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 22 | 17% |
| Medicine and Dentistry | 13 | 10% |
| Immunology and Microbiology | 8 | 6% |
| Agricultural and Biological Sciences | 6 | 5% |
| Computer Science | 4 | 3% |
| Other | 26 | 20% |
| Unknown | 49 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1090. 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 January 2024.
All research outputs
#14,273
of 25,782,917 outputs
Outputs from Science Translational Medicine
#46
of 5,478 outputs
Outputs of similar age
#607
of 520,080 outputs
Outputs of similar age from Science Translational Medicine
#3
of 78 outputs
Altmetric has tracked 25,782,917 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 5,478 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 87.0. 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 520,080 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 96% of its contemporaries.