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Factors influencing liberation from mechanical ventilation in coronavirus disease 2019: multicenter observational study in fifteen Italian ICUs

Overview of attention for article published in Journal of Intensive Care, October 2020
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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 (83rd percentile)

Mentioned by

twitter
20 tweeters

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
101 Mendeley
Title
Factors influencing liberation from mechanical ventilation in coronavirus disease 2019: multicenter observational study in fifteen Italian ICUs
Published in
Journal of Intensive Care, October 2020
DOI 10.1186/s40560-020-00499-4
Pubmed ID
Authors

Lorenzo Gamberini, Tommaso Tonetti, Savino Spadaro, Gianluca Zani, Carlo Alberto Mazzoli, Chiara Capozzi, Emanuela Giampalma, Maria Letizia Bacchi Reggiani, Elisabetta Bertellini, Andrea Castelli, Irene Cavalli, Davide Colombo, Federico Crimaldi, Federica Damiani, Alberto Fogagnolo, Maurizio Fusari, Emiliano Gamberini, Giovanni Gordini, Cristiana Laici, Maria Concetta Lanza, Mirco Leo, Andrea Marudi, Giuseppe Nardi, Irene Ottaviani, Raffaella Papa, Antonella Potalivo, Emanuele Russo, Stefania Taddei, Carlo Alberto Volta, V. Marco Ranieri, Marco Tartaglione, Valentina Chiarini, Virginia Buldini, Carlo Coniglio, Federico Moro, Nicola Cilloni, Lorenzo Giuntoli, Angela Bellocchio, Emanuele Matteo, Giacinto Pizzilli, Antonio Siniscalchi, Chiara Tartivita, Francesco Matteo, Annalisa Marchio, Igor Bacchilega, Laura Bernabé, Sonia Guarino, Elena Mosconi, Luca Bissoni, Lorenzo Viola, Tommaso Meconi, Vittorio Pavoni, Aline Pagni, Patrizia Pompa Cleta, Marco Cavagnino, Anna Malfatto, Angelina Adduci, Silvia Pareschi, Gabriele Melegari, Jessica Maccieri, Elisa Marinangeli, Fabrizio Racca, Marco Verri, Giulia Falò, Elisabetta Marangoni, Francesco Boni, Giulia Felloni, Federico Domenico Baccarini, Marina Terzitta, Stefano Maitan, Michele Imbriani, Paolo Orlandi, Giorgia Dalpiaz, Rita Golfieri, Federica Ciccarese, Antonio Poerio, Francesco Muratore, Fabio Ferrari, Martina Mughetti, Loredana Franchini, Ersenad Neziri, Marco Miceli, Maria Teresa Minguzzi, Lorenzo Mellini, Sara Piciucchi

Twitter Demographics

The data shown below were collected from the profiles of 20 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 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 101 100%

Demographic breakdown

Readers by professional status Count As %
Other 13 13%
Student > Master 13 13%
Student > Bachelor 13 13%
Researcher 7 7%
Student > Doctoral Student 4 4%
Other 21 21%
Unknown 30 30%
Readers by discipline Count As %
Medicine and Dentistry 33 33%
Nursing and Health Professions 17 17%
Agricultural and Biological Sciences 3 3%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Engineering 2 2%
Other 8 8%
Unknown 35 35%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 29 November 2020.
All research outputs
#2,009,006
of 20,244,814 outputs
Outputs from Journal of Intensive Care
#102
of 462 outputs
Outputs of similar age
#53,425
of 329,924 outputs
Outputs of similar age from Journal of Intensive Care
#1
of 1 outputs
Altmetric has tracked 20,244,814 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 462 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done well, scoring higher than 78% 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 329,924 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 83% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them