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SARS-CoV-2 uses CD4 to infect T helper lymphocytes

Overview of attention for article published in eLife, July 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#20 of 16,346)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

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2411 X users
facebook
1 Facebook page

Citations

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18 Dimensions

Readers on

mendeley
126 Mendeley
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Title
SARS-CoV-2 uses CD4 to infect T helper lymphocytes
Published in
eLife, July 2023
DOI 10.7554/elife.84790
Pubmed ID
Authors

Natalia S Brunetti, Gustavo G Davanzo, Diogo de Moraes, Allan JR Ferrari, Gabriela F Souza, Stéfanie Primon Muraro, Thiago L Knittel, Vinicius O Boldrini, Lauar B Monteiro, João Victor Virgílio-da-Silva, Gerson S Profeta, Natália S Wassano, Luana Nunes Santos, Victor C Carregari, Artur HS Dias, Flavio P Veras, Lucas A Tavares, Julia Forato, Icaro MS Castro, Lícia C Silva-Costa, André C Palma, Eli Mansour, Raisa G Ulaf, Ana F Bernardes, Thyago A Nunes, Luciana C Ribeiro, Marcus V Agrela, Maria Luiza Moretti, Lucas I Buscaratti, Fernanda Crunfli, Raissa G Ludwig, Jaqueline A Gerhardt, Natália Munhoz-Alves, Ana Maria Marques, Renata Sesti-Costa, Mariene R Amorim, Daniel A Toledo-Teixeira, Pierina Lorencini Parise, Matheus Cavalheiro Martini, Karina Bispos-dos-Santos, Camila L Simeoni, Fabiana Granja, Virgínia C Silvestrini, Eduardo B de Oliveira, Vitor M Faca, Murilo Carvalho, Bianca G Castelucci, Alexandre B Pereira, Laís D Coimbra, Marieli MG Dias, Patricia B Rodrigues, Arilson Bernardo SP Gomes, Fabricio B Pereira, Leonilda MB Santos, Louis-Marie Bloyet, Spencer Stumpf, Marjorie C Pontelli, Sean Whelan, Andrei C Sposito, Robson F Carvalho, André S Vieira, Marco AR Vinolo, André Damasio, Licio Velloso, Ana Carolina M Figueira, Luis LP da Silva, Thiago Mattar Cunha, Helder I Nakaya, Henrique Marques-Souza, Rafael E Marques, Daniel Martins-de-Souza, Munir S Skaf, Jose Luiz Proenca-Modena, Pedro MM Moraes-Vieira, Marcelo A Mori, Alessandro S Farias

X Demographics

X Demographics

The data shown below were collected from the profiles of 2,411 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 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 126 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 14%
Student > Bachelor 17 13%
Researcher 13 10%
Student > Master 13 10%
Other 7 6%
Other 16 13%
Unknown 42 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 26 21%
Medicine and Dentistry 14 11%
Immunology and Microbiology 11 9%
Agricultural and Biological Sciences 7 6%
Chemistry 5 4%
Other 18 14%
Unknown 45 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1406. 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 September 2024.
All research outputs
#9,474
of 26,588,565 outputs
Outputs from eLife
#20
of 16,346 outputs
Outputs of similar age
#278
of 370,084 outputs
Outputs of similar age from eLife
#1
of 335 outputs
Altmetric has tracked 26,588,565 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 16,346 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 35.6. 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 370,084 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 335 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 99% of its contemporaries.