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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Individualized Prediction of Transition to Psychosis in 1,676 Individuals at Clinical High Risk: Development and Validation of a Multivariable Prediction Model Based on Individual Patient Data Meta-Analysis
|
|---|---|
| Published in |
Frontiers in Psychiatry, May 2019
|
| DOI | 10.3389/fpsyt.2019.00345 |
| Pubmed ID | |
| Authors |
Aaltsje Malda, Nynke Boonstra, Hans Barf, Steven de Jong, Andre Aleman, Jean Addington, Marita Pruessner, Dorien Nieman, Lieuwe de Haan, Anthony Morrison, Anita Riecher-Rössler, Erich Studerus, Stephan Ruhrmann, Frauke Schultze-Lutter, Suk Kyoon An, Shinsuke Koike, Kiyoto Kasai, Barnaby Nelson, Patrick McGorry, Stephen Wood, Ashleigh Lin, Alison Y. Yung, Magdalena Kotlicka-Antczak, Marco Armando, Stefano Vicari, Masahiro Katsura, Kazunori Matsumoto, Sarah Durston, Tim Ziermans, Lex Wunderink, Helga Ising, Mark van der Gaag, Paolo Fusar-Poli, Gerdina Hendrika Maria Pijnenborg |
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 % |
|---|---|---|
| United Kingdom | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 108 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 14% |
| Student > Ph. D. Student | 14 | 13% |
| Other | 7 | 6% |
| Professor | 7 | 6% |
| Student > Bachelor | 7 | 6% |
| Other | 21 | 19% |
| Unknown | 37 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 30 | 28% |
| Medicine and Dentistry | 16 | 15% |
| Neuroscience | 8 | 7% |
| Nursing and Health Professions | 3 | 3% |
| Social Sciences | 2 | 2% |
| Other | 8 | 7% |
| Unknown | 41 | 38% |
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 23 August 2020.
All research outputs
#16,043,019
of 25,364,936 outputs
Outputs from Frontiers in Psychiatry
#5,743
of 12,627 outputs
Outputs of similar age
#207,417
of 364,199 outputs
Outputs of similar age from Frontiers in Psychiatry
#137
of 218 outputs
Altmetric has tracked 25,364,936 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,627 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 52% 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 364,199 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 218 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.