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X Demographics
Mendeley readers
Attention Score in Context
Title |
Biophysical Psychiatry—How Computational Neuroscience Can Help to Understand the Complex Mechanisms of Mental Disorders
|
---|---|
Published in |
Frontiers in Psychiatry, August 2019
|
DOI | 10.3389/fpsyt.2019.00534 |
Pubmed ID | |
Authors |
Tuomo Mäki-Marttunen, Tobias Kaufmann, Torbjørn Elvsåshagen, Anna Devor, Srdjan Djurovic, Lars T. Westlye, Marja-Leena Linne, Marcella Rietschel, Dirk Schubert, Stefan Borgwardt, Magdalena Efrim-Budisteanu, Francesco Bettella, Geir Halnes, Espen Hagen, Solveig Næss, Torbjørn V. Ness, Torgeir Moberget, Christoph Metzner, Andrew G. Edwards, Marianne Fyhn, Anders M. Dale, Gaute T. Einevoll, Ole A. Andreassen |
X Demographics
The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Norway | 4 | 24% |
United Kingdom | 1 | 6% |
United States | 1 | 6% |
Philippines | 1 | 6% |
Canada | 1 | 6% |
France | 1 | 6% |
Spain | 1 | 6% |
China | 1 | 6% |
Unknown | 6 | 35% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 12 | 71% |
Scientists | 5 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 74 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 22% |
Researcher | 15 | 20% |
Student > Master | 11 | 15% |
Student > Bachelor | 7 | 9% |
Other | 3 | 4% |
Other | 9 | 12% |
Unknown | 13 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 29 | 39% |
Medicine and Dentistry | 7 | 9% |
Biochemistry, Genetics and Molecular Biology | 4 | 5% |
Engineering | 4 | 5% |
Computer Science | 4 | 5% |
Other | 12 | 16% |
Unknown | 14 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 16 September 2021.
All research outputs
#3,138,798
of 25,756,911 outputs
Outputs from Frontiers in Psychiatry
#1,833
of 12,884 outputs
Outputs of similar age
#60,954
of 358,176 outputs
Outputs of similar age from Frontiers in Psychiatry
#52
of 228 outputs
Altmetric has tracked 25,756,911 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,884 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has done well, scoring higher than 85% 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 358,176 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 82% of its contemporaries.
We're also able to compare this research output to 228 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.