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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An integrated precision medicine approach in major depressive disorder: a study protocol to create a new algorithm for the prediction of treatment response
|
|---|---|
| Published in |
Frontiers in Psychiatry, January 2024
|
| DOI | 10.3389/fpsyt.2023.1279688 |
| Pubmed ID | |
| Authors |
Bernhard T. Baune, Alessandra Minelli, Bernardo Carpiniello, Martina Contu, Jorge Domínguez Barragán, Chus Donlo, Ewa Ferensztajn-Rochowiak, Rosa Glaser, Britta Kelch, Paulina Kobelska, Grzegorz Kolasa, Dobrochna Kopeć, María Martínez de Lagrán Cabredo, Paolo Martini, Miguel-Angel Mayer, Valentina Menesello, Pasquale Paribello, Júlia Perera Bel, Giulia Perusi, Federica Pinna, Marco Pinna, Claudia Pisanu, Cesar Sierra, Inga Stonner, Viktor T. H. Wahner, Laura Xicota, Johannes C. S. Zang, Massimo Gennarelli, Mirko Manchia, Alessio Squassina, Marie-Claude Potier, Filip Rybakowski, Ferran Sanz, Mara Dierssen |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 38% |
| Other | 1 | 13% |
| Unknown | 4 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1 | 13% |
| Nursing and Health Professions | 1 | 13% |
| Neuroscience | 1 | 13% |
| Medicine and Dentistry | 1 | 13% |
| Unknown | 4 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 13 February 2024.
All research outputs
#15,728,911
of 25,362,520 outputs
Outputs from Frontiers in Psychiatry
#5,263
of 12,550 outputs
Outputs of similar age
#102,024
of 241,570 outputs
Outputs of similar age from Frontiers in Psychiatry
#105
of 420 outputs
Altmetric has tracked 25,362,520 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,550 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has gotten more attention than average, scoring higher than 55% 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 241,570 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 56% of its contemporaries.
We're also able to compare this research output to 420 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.