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Predicting Pseudomonas aeruginosa susceptibility phenotypes from whole genome sequence resistome analysis

Overview of attention for article published in Clinical Microbiology and Infection, May 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

blogs
1 blog
twitter
18 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
17 Mendeley
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Title
Predicting Pseudomonas aeruginosa susceptibility phenotypes from whole genome sequence resistome analysis
Published in
Clinical Microbiology and Infection, May 2021
DOI 10.1016/j.cmi.2021.05.011
Pubmed ID
Authors

Sara Cortes-Lara, Ester del Barrio-Tofiño, Carla López-Causapé, Antonio Oliver, Luis Martínez-Martínez, Germán Bou, Laura Zamorano, Irina Sánchez-Diener, Fátima Galán, Irene Gracia, Manuel Antonio Rodríguez, Lina Martín, Juan Manuel Sánchez, Laura Viñuela, Ma Victoria García, José Antonio Lepe, Javier Aznar, Inma López-Hernández, Cristina Seral, Francisco Javier Castillo-García, Ana Isabel López-Calleja, Carmen Aspiroz, Pedro de la Iglesia, Susana Ramón, Elena Riera, María Cruz Pérez, Carmen Gallegos, Jorge Calvo, María Dolores Quesada, Cristina Pitart, Francesc Marco, Yannick Hoyos, Juan Pablo Horcajada, Nieves Larrosa, Juan José González, Fe Tubau, Silvia Capilla, Mar Olga Pérez-Moreno, Ma José Centelles, Emma Padilla, Alba Rivera, Beatriz Mirelis, Raquel Elisa Rodríguez-Tarazona, Noelia Arenal-Andrés, María del Pilar Ortega, Gregoria Megías, Inmaculada García, Cristina Colmenarejo, José Carlos González, Nora Mariela Martínez, Bárbara Gomila, Salvador Giner, Nuria Tormo, Eugenio Garduño, José Andrés Agulla, Alejandro Seoane, Julia Pita, Isabel Paz Vidal, David Mauricio Guzmán, Marta García, María Luisa Pérez del Molino, Gema Barbeito, Fernando Artiles, José Manuel Azcona-Gutiérrez, Yolanda Sáenz, José Antonio Oteo, Ana González, Jennifer Villa, Fernando Chaves, Emilia Cercenado, Teresa Alarcón, Nelly Daniela Zurita, Desiré Gijón, Irene Merino, María Isabel Morosini, Rafael Cantón, María Isabel Sánchez, Laura Moreno, Genoveva Yagüe, José Leiva, José Luis Barrios, Andrés Canut, Jesús Oteo

Twitter Demographics

The data shown below were collected from the profiles of 18 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 24%
Researcher 3 18%
Student > Master 3 18%
Student > Bachelor 1 6%
Professor 1 6%
Other 2 12%
Unknown 3 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 35%
Immunology and Microbiology 3 18%
Agricultural and Biological Sciences 3 18%
Nursing and Health Professions 1 6%
Chemical Engineering 1 6%
Other 1 6%
Unknown 2 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 10 July 2021.
All research outputs
#1,485,411
of 19,040,944 outputs
Outputs from Clinical Microbiology and Infection
#465
of 3,763 outputs
Outputs of similar age
#38,611
of 340,761 outputs
Outputs of similar age from Clinical Microbiology and Infection
#44
of 153 outputs
Altmetric has tracked 19,040,944 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,763 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done well, scoring higher than 87% 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 340,761 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 153 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.