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The multimodal Munich Clinical Deep Phenotyping study to bridge the translational gap in severe mental illness treatment research

Overview of attention for article published in Frontiers in Psychiatry, May 2023
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

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6 X users

Citations

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6 Dimensions

Readers on

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21 Mendeley
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Title
The multimodal Munich Clinical Deep Phenotyping study to bridge the translational gap in severe mental illness treatment research
Published in
Frontiers in Psychiatry, May 2023
DOI 10.3389/fpsyt.2023.1179811
Pubmed ID
Authors

Lenka Krčmář, Iris Jäger, Emanuel Boudriot, Katharina Hanken, Vanessa Gabriel, Julian Melcher, Nicole Klimas, Fanny Dengl, Susanne Schmoelz, Pauline Pingen, Mattia Campana, Joanna Moussiopoulou, Vladislav Yakimov, Georgios Ioannou, Sven Wichert, Silvia DeJonge, Peter Zill, Boris Papazov, Valéria de Almeida, Sabrina Galinski, Nadja Gabellini, Genc Hasanaj, Matin Mortazavi, Temmuz Karali, Alexandra Hisch, Marcel S Kallweit, Verena J. Meisinger, Lisa Löhrs, Karin Neumeier, Stephanie Behrens, Susanne Karch, Benedikt Schworm, Christoph Kern, Siegfried Priglinger, Berend Malchow, Johann Steiner, Alkomiet Hasan, Frank Padberg, Oliver Pogarell, Peter Falkai, Andrea Schmitt, Elias Wagner, Daniel Keeser, Florian J. Raabe

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 14%
Student > Master 3 14%
Student > Bachelor 1 5%
Librarian 1 5%
Student > Ph. D. Student 1 5%
Other 0 0%
Unknown 12 57%
Readers by discipline Count As %
Psychology 6 29%
Computer Science 1 5%
Sports and Recreations 1 5%
Social Sciences 1 5%
Unknown 12 57%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 11 May 2023.
All research outputs
#7,655,790
of 24,770,025 outputs
Outputs from Frontiers in Psychiatry
#3,576
of 11,996 outputs
Outputs of similar age
#128,812
of 387,261 outputs
Outputs of similar age from Frontiers in Psychiatry
#107
of 632 outputs
Altmetric has tracked 24,770,025 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 11,996 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has gotten more attention than average, scoring higher than 69% 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 387,261 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 66% of its contemporaries.
We're also able to compare this research output to 632 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.