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Reply to: New Meta- and Mega-analyses of Magnetic Resonance Imaging Findings in Schizophrenia: Do They Really Increase Our Knowledge About the Nature of the Disease Process?

Overview of attention for article published in Biological Psychiatry, November 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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4 X users
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1 Facebook page

Citations

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2 Dimensions

Readers on

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114 Mendeley
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Title
Reply to: New Meta- and Mega-analyses of Magnetic Resonance Imaging Findings in Schizophrenia: Do They Really Increase Our Knowledge About the Nature of the Disease Process?
Published in
Biological Psychiatry, November 2018
DOI 10.1016/j.biopsych.2018.10.003
Pubmed ID
Authors

Theo G.M. van Erp, Esther Walton, Derrek P. Hibar, Lianne Schmaal, Wenhao Jiang, David C. Glahn, Godfrey D. Pearlson, Nailin Yao, Masaki Fukunaga, Ryota Hashimoto, Naohiro Okada, Hidenaga Yamamori, Vincent P. Clark, Bryon A. Mueller, Sonja M.C. de Zwarte, Roel A. Ophoff, Neeltje E.M. van Haren, Ole A. Andreassen, Tiril P. Gurholt, Oliver Gruber, Bernd Kraemer, Anja Richter, Vince D. Calhoun, Benedicto Crespo-Facorro, Roberto Roiz-Santiañez, Diana Tordesillas-Gutiérrez, Carmel Loughland, Stanley Catts, Janice M. Fullerton, Melissa J. Green, Frans Henskens, Assen Jablensky, Bryan J. Mowry, Christos Pantelis, Yann Quidé, Ulrich Schall, Rodney J. Scott, Murray J. Cairns, Marc Seal, Paul A. Tooney, Paul E. Rasser, Gavin Cooper, Cynthia Shannon Weickert, Thomas W. Weickert, Elliot Hong, Peter Kochunov, Raquel E. Gur, Ruben C. Gur, Judith M. Ford, Fabio Macciardi, Daniel H. Mathalon, Steven G. Potkin, Adrian Preda, Fengmei Fan, Stefan Ehrlich, Margaret D. King, Lieuwe De Haan, Dick J. Veltman, Francesca Assogna, Nerisa Banaj, Pietro de Rossi, Mariangela Iorio, Fabrizio Piras, Gianfranco Spalletta, Edith Pomarol-Clotet, Sinead Kelly, Simone Ciufolini, Joaquim Radua, Robin Murray, Tiago Reis Marques, Andrew Simmons, Stefan Borgwardt, Fabienne Schönborn-Harrisberger, Anita Riecher-Rössler, Renata Smieskova, Kathryn I. Alpert, Alessandro Bertolino, Aurora Bonvino, Annabella Di Giorgio, Emma Neilson, Andrew R. Mayer, Je-Yeon Yun, Dara M. Cannon, Irina Lebedeva, Alexander S. Tomyshev, Tolibjohn Akhadov, Vasily Kaleda, Helena Fatouros-Bergman, Lena Flyckt, Pedro G.P. Rosa, Mauricio H. Serpa, Marcus V. Zanetti, Cyril Hoschl, Antonin Skoch, Filip Spaniel, David Tomecek, Andrew M. McIntosh, Heather C. Whalley, Christian Knöchel, Viola Oertel-Knöchel, Fleur M. Howells, Dan J. Stein, Henk S. Temmingh, Anne Uhlmann, Carlos Lopez-Jaramillo, Danai Dima, Joshua I. Faskowitz, Boris A. Gutman, Neda Jahanshad, Paul M. Thompson, Jessica A. Turner, Lars Farde, Lena Flyckt, Helena Fatouros-Bergman, Simon Cervenka, Ingrid Agartz, Karin Collste, Pauliina Victorsson, Göran Engberg, Sophie Erhardt, Lilly Schwieler, Anna Malmqvist, Mikael Hedberg, Funda Orhan, Fredrik Piehl, Ingrid Agartz

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 114 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 15%
Student > Ph. D. Student 14 12%
Professor 13 11%
Student > Master 10 9%
Professor > Associate Professor 9 8%
Other 17 15%
Unknown 34 30%
Readers by discipline Count As %
Neuroscience 17 15%
Medicine and Dentistry 17 15%
Psychology 12 11%
Nursing and Health Professions 3 3%
Biochemistry, Genetics and Molecular Biology 3 3%
Other 18 16%
Unknown 44 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 22 August 2019.
All research outputs
#8,538,940
of 25,385,509 outputs
Outputs from Biological Psychiatry
#3,464
of 6,600 outputs
Outputs of similar age
#163,570
of 446,120 outputs
Outputs of similar age from Biological Psychiatry
#30
of 56 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,600 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.6. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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 446,120 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.