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Cost-Effective Method to Perform SARS-CoV-2 Variant Surveillance: Detection of Alpha, Gamma, Lambda, Delta, Epsilon, and Zeta in Argentina

Overview of attention for article published in Frontiers in Medicine, December 2021
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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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
1 news outlet
twitter
58 X users

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
23 Mendeley
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Title
Cost-Effective Method to Perform SARS-CoV-2 Variant Surveillance: Detection of Alpha, Gamma, Lambda, Delta, Epsilon, and Zeta in Argentina
Published in
Frontiers in Medicine, December 2021
DOI 10.3389/fmed.2021.755463
Pubmed ID
Authors

Carolina Torres, Laura Mojsiejczuk, Dolores Acuña, Sofía Alexay, Ariel Amadio, Paula Aulicino, Humberto Debat, Fabián Fay, Franco Fernández, Adriana A. Giri, Stephanie Goya, Guido König, Horacio Lucero, Mercedes Nabaes Jodar, Luis Pianciola, Javier A. Sfalcin, Raúl M. Acevedo, Sofía Bengoa Luoni, Elisa M. Bolatti, Bettina Brusés, Marco Cacciabue, Pablo E. Casal, Agustina Cerri, Diego Chouhy, María José Dus Santos, María Florencia Eberhardt, Ailen Fernandez, Paula del Carmen Fernández, Darío Fernández Do Porto, Laura Formichelli, María Inés Gismondi, Matías Irazoqui, Melina Lorenzini Campos, Silvina Lusso, Nathalie Marquez, Marianne Muñoz, Javier Mussin, Mónica Natale, Griselda Oria, María Belén Pisano, Victoria Posner, Andrea Puebla, Viviana Re, Ezequiel Sosa, Gabriela V. Villanova, Jonathan Zaiat, Sebastián Zunino, María Elina Acevedo, Julián Acosta, Cristina Alvarez Lopez, María Laura Álvarez, Patricia Angeleri, Andrés Angelletti, Manuel Arca, Natalia A. Ayala, Gabriela Barbas, Ana Bertone, Agustina Bonnet, Ignacio Bourlot, Victoria Cabassi, Alejandro Castello, Gonzalo Castro, Ana Laura Cavatorta, Carolina Ceriani, Carlos Cimmino, Julián Cipelli, María Colmeiro, Andrés Cordero, Carolina Cristina, Sofia Di Bella, Guillermina Dolcini, Regina Ercole, Yesica Espasandin, Carlos Espul, Andrea Falaschi, Facundo Fernandez Moll, María Delia Foussal, Andrea Gatelli, Sandra Goñi, María Estela Jofré, José Jaramillo, Natalia Labarta, María Agustina Lacaze, Rocio Larreche, Viviana Leiva, Gustavo Levin, Erica Luczak, Marcelo Mandile, Gioia Marino, Carla Massone, Melina Mazzeo, Carla Medina, Belén Monaco, Luciana Montoto, Viviana Mugna, Alejandra Musto, Victoria Nadalich, María Victoria Nieto, Guillermo Ojeda, Andrea C. Piedrabuena, Carolina Pintos, Marcia Pozzati, Marilina Rahhal, Claudia Rechimont, Federico Remes Lenicov, Gabriela Rompato, Vanesa Seery, Leticia Siri, Julieta Spina, Cintia Streitenberger, Ariel Suárez, Jorgelina Suárez, Paula Sujansky, Juan Manuel Talia, Clara Theaux, Guillermo Thomas, Marina Ticeira, Estefanía Tittarelli, Rosana Toro, Osvaldo Uez, María Belén Zaffanella, Cecilia Ziehm, Martin Zubieta, Alicia S. Mistchenko, Laura Valinotto, Mariana Viegas

X Demographics

X Demographics

The data shown below were collected from the profiles of 58 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 22%
Student > Master 3 13%
Student > Ph. D. Student 2 9%
Unknown 13 57%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 26%
Agricultural and Biological Sciences 2 9%
Nursing and Health Professions 1 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Immunology and Microbiology 1 4%
Other 1 4%
Unknown 11 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 54. 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 17 May 2023.
All research outputs
#800,912
of 25,853,983 outputs
Outputs from Frontiers in Medicine
#242
of 7,347 outputs
Outputs of similar age
#19,794
of 521,285 outputs
Outputs of similar age from Frontiers in Medicine
#25
of 614 outputs
Altmetric has tracked 25,853,983 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,347 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. This one has done particularly well, scoring higher than 96% 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 521,285 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 96% of its contemporaries.
We're also able to compare this research output to 614 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 95% of its contemporaries.