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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predicting Antidepressant Citalopram Treatment Response via Changes in Brain Functional Connectivity After Acute Intravenous Challenge
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, October 2020
|
| DOI | 10.3389/fncom.2020.554186 |
| Pubmed ID | |
| Authors |
Manfred Klöbl, Gregor Gryglewski, Lucas Rischka, Godber Mathis Godbersen, Jakob Unterholzner, Murray Bruce Reed, Paul Michenthaler, Thomas Vanicek, Edda Winkler-Pjrek, Andreas Hahn, Siegfried Kasper, Rupert Lanzenberger |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 16% |
| Researcher | 5 | 16% |
| Student > Doctoral Student | 4 | 13% |
| Student > Master | 3 | 9% |
| Student > Bachelor | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 11 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 10 | 31% |
| Psychology | 7 | 22% |
| Environmental Science | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Medicine and Dentistry | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 11 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 17 October 2020.
All research outputs
#20,898,429
of 23,524,722 outputs
Outputs from Frontiers in Computational Neuroscience
#1,187
of 1,379 outputs
Outputs of similar age
#356,122
of 415,676 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#27
of 28 outputs
Altmetric has tracked 23,524,722 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,379 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 1st percentile – i.e., 1% 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 415,676 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.