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An updated framework for SARS-CoV-2 variants reflects the unpredictability of viral evolution

Overview of attention for article published in Nature Medicine, May 2024
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
243 X users
facebook
3 Facebook pages

Readers on

mendeley
4 Mendeley
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Title
An updated framework for SARS-CoV-2 variants reflects the unpredictability of viral evolution
Published in
Nature Medicine, May 2024
DOI 10.1038/s41591-024-02949-0
Pubmed ID
Authors

Lorenzo Subissi, James Richard Otieno, Nathalie Worp, Homa Attar Cohen, Bas B. Oude Munnink, Laith J. Abu-Raddad, Erik Alm, Amal Barakat, Wendy S. Barclay, Jinal N. Bhiman, Leon Caly, Meera Chand, Mark Chen, Ann Cullinane, Tulio de Oliveira, Christian Drosten, Julian Druce, Paul Effler, Ihab El Masry, Adama Faye, Elodie Ghedin, Rebecca Grant, Bart L. Haagmans, Christian Happi, Belinda L. Herring, Emma B. Hodcroft, Juniorcaius Ikejezie, Victoria Katawera, Zyleen Alnashir Kassamali, Yee-Sin Leo, Gabriel M. Leung, Rebecca J. Kondor, Marco Marklewitz, Jairo Mendez-Rico, Nada M. Melhem, Vincent Munster, Karen Nahapetyan, Dhamari Naindoo, Djin-Ye Oh, Thomas P. Peacock, Malik Peiris, Zhibin Peng, Leo L. M. Poon, Andrew Rambaut, Senjuti Saha, Yinzhong Shen, Marilda M. Siqueira, Erik Volz, Sofonias K. Tessema, Volker Thiel, Henda Triki, Sylvie van der Werf, Karin von Eije, Jane Cunningham, Marion P. G. Koopmans, Anne von Gottberg, Anurag Agrawal, Maria D. Van Kerkhove

X Demographics

X Demographics

The data shown below were collected from the profiles of 243 X users 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 50%
Researcher 2 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 25%
Agricultural and Biological Sciences 1 25%
Computer Science 1 25%
Unknown 1 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 114. 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 31 May 2024.
All research outputs
#380,133
of 26,012,510 outputs
Outputs from Nature Medicine
#1,362
of 9,517 outputs
Outputs of similar age
#3,752
of 227,561 outputs
Outputs of similar age from Nature Medicine
#34
of 136 outputs
Altmetric has tracked 26,012,510 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,517 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 106.9. This one has done well, scoring higher than 85% 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 227,561 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 98% of its contemporaries.
We're also able to compare this research output to 136 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.