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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 16 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 | 25% |
| United Kingdom | 1 | 6% |
| United States | 1 | 6% |
| Canada | 1 | 6% |
| France | 1 | 6% |
| Spain | 1 | 6% |
| China | 1 | 6% |
| Unknown | 6 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 69% |
| Scientists | 5 | 31% |
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 11. 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 September 2020.
All research outputs
#3,224,835
of 24,778,793 outputs
Outputs from Frontiers in Psychiatry
#1,849
of 12,011 outputs
Outputs of similar age
#63,387
of 350,410 outputs
Outputs of similar age from Frontiers in Psychiatry
#58
of 229 outputs
Altmetric has tracked 24,778,793 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,011 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 done well, scoring higher than 84% 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 350,410 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 81% of its contemporaries.
We're also able to compare this research output to 229 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.