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The PREDICT study uncovers three clinical courses of acutely decompensated cirrhosis that have distinct pathophysiology

Overview of attention for article published in Journal of Hepatology, July 2020
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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)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
9 news outlets
blogs
1 blog
twitter
95 X users
patent
4 patents
facebook
1 Facebook page
guideline
4 clinical guideline sources

Readers on

mendeley
304 Mendeley
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Article details
Title
The PREDICT study uncovers three clinical courses of acutely decompensated cirrhosis that have distinct pathophysiology
Published in
Journal of Hepatology, July 2020
DOI 10.1016/j.jhep.2020.06.013
Pubmed ID
Authors

Jonel Trebicka, Javier Fernandez, Maria Papp, Paolo Caraceni, Wim Laleman, Carmine Gambino, Ilaria Giovo, Frank Erhard Uschner, Cesar Jimenez, Rajeshwar Mookerjee, Thierry Gustot, Agustin Albillos, Rafael Bañares, Martin Janicko, Christian Steib, Thomas Reiberger, Juan Acevedo, Pietro Gatti, William Bernal, Stefan Zeuzem, Alexander Zipprich, Salvatore Piano, Thomas Berg, Tony Bruns, Flemming Bendtsen, Minneke Coenraad, Manuela Merli, Rudolf Stauber, Heinz Zoller, José Presa Ramos, Cristina Solè, Germán Soriano, Andrea de Gottardi, Henning Gronbaek, Faouzi Saliba, Christian Trautwein, Osman Cavit Özdogan, Sven Francque, Stephen Ryder, Pierre Nahon, Manuel Romero-Gomez, Hans Van Vlierberghe, Claire Francoz, Michael Manns, Elisabet Garcia, Manuel Tufoni, Alex Amoros, Marco Pavesi, Cristina Sanchez, Anna Curto, Carla Pitarch, Antonella Putignano, Esau Moreno, Debbie Shawcross, Ferran Aguilar, Joan Clària, Paola Ponzo, Christian Jansen, Zsuzsanna Vitalis, Giacomo Zaccherini, Boglarka Balogh, Victor Vargas, Sara Montagnese, Carlo Alessandria, Mauro Bernardi, Pere Ginès, Rajiv Jalan, Richard Moreau, Paolo Angeli, Vicente Arroyo, PREDICT STUDY group of the EASL-CLIF Consortium, Miriam Maschmeier, David Semela, Laure Elkrief, Ahmed Elsharkawy, Tamas Tornai, Istvan Tornai, Istvan Altorjay, Agnese Antognoli, Maurizio Baldassarre, Martina Gagliardi, Eleonora Bertoli, Sara Mareso, Alessandra Brocca, Daniela Campion, Giorgio Maria Saracco, Martina Rizzo, Jennifer Lehmann, Alessandra Pohlmann, Michael Praktiknjo, Robert Schierwagen, Elsa Solà, Nesrine Amari, Miguel Rodriguez, Frederik Nevens, Ana Clemente, Peter Jarcuska, Alexander Gerbes, Mattias Mandorfer, Christoph Welsch, Emanuela Ciraci, Vish Patel, Cristina Ripoll, Adam Herber, Paul Horn, Karen Vagner Danielsen, Lise Lotte Gluud, Jelte Schaapman, Oliviero Riggio, Florian Rainer, Jörg Tobiasch Moritz, Mónica Mesquita, Edilmar Alvarado-Tapias, Osagie Akpata, Peter Lykke Eriksen, Didier Samuel, Sylvie Tresson, Pavel Strnad, Roland Amathieu, Macarena Simón-Talero, Francois Smits, Natalie van den Ende, Javier Martinez, Rita Garcia, Daniel Markwardt, Harald Rupprechter, Cornelius Engelmann

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X Demographics

X Demographics

The data shown below were collected from the profiles of 95 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 304 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 304 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 29 10%
Researcher 24 8%
Student > Postgraduate 24 8%
Other 21 7%
Student > Doctoral Student 19 6%
Other 55 18%
Unknown 132 43%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 112 37%
Biochemistry, Genetics and Molecular Biology 7 2%
Nursing and Health Professions 7 2%
Agricultural and Biological Sciences 7 2%
Immunology and Microbiology 6 2%
Other 20 7%
Unknown 145 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 144. 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 20 October 2025.
All research outputs
#355,159
of 33,695,692 outputs
Outputs from Journal of Hepatology
#125
of 8,460 outputs
Outputs of similar age
#8,742
of 456,926 outputs
Outputs of similar age from Journal of Hepatology
#3
of 119 outputs
Altmetric has tracked 33,695,692 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 8,460 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.5. This one has done particularly well, scoring higher than 98% 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 456,926 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 119 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 97% of its contemporaries.