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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The cross-sectional GRAS sample: A comprehensive phenotypical data collection of schizophrenic patients
|
|---|---|
| Published in |
BMC Psychiatry, November 2010
|
| DOI | 10.1186/1471-244x-10-91 |
| Pubmed ID | |
| Authors |
Katja Ribbe, Heidi Friedrichs, Martin Begemann, Sabrina Grube, Sergi Papiol, Anne Kästner, Martin F Gerchen, Verena Ackermann, Asieh Tarami, Annika Treitz, Marlene Flögel, Lothar Adler, Josef B Aldenhoff, Marianne Becker-Emner, Thomas Becker, Adelheid Czernik, Matthias Dose, Here Folkerts, Roland Freese, Rolf Günther, Sabine Herpertz, Dirk Hesse, Gunther Kruse, Heinrich Kunze, Michael Franz, Frank Löhrer, Wolfgang Maier, Andreas Mielke, Rüdiger Müller-Isberner, Cornelia Oestereich, Frank-Gerald Pajonk, Thomas Pollmächer, Udo Schneider, Hans-Joachim Schwarz, Birgit Kröner-Herwig, Ursula Havemann-Reinecke, Jens Frahm, Walter Stühmer, Peter Falkai, Nils Brose, Klaus-Armin Nave, Hannelore Ehrenreich |
| Abstract |
Schizophrenia is the collective term for an exclusively clinically diagnosed, heterogeneous group of mental disorders with still obscure biological roots. Based on the assumption that valuable information about relevant genetic and environmental disease mechanisms can be obtained by association studies on patient cohorts of ≥ 1000 patients, if performed on detailed clinical datasets and quantifiable biological readouts, we generated a new schizophrenia data base, the GRAS (Göttingen Research Association for Schizophrenia) data collection. GRAS is the necessary ground to study genetic causes of the schizophrenic phenotype in a 'phenotype-based genetic association study' (PGAS). This approach is different from and complementary to the genome-wide association studies (GWAS) on schizophrenia. |
X Demographics
The data shown below were collected from the profiles of 4 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 States | 1 | 25% |
| Germany | 1 | 25% |
| Switzerland | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| Netherlands | 1 | 1% |
| Germany | 1 | 1% |
| Switzerland | 1 | 1% |
| Unknown | 82 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 20% |
| Student > Master | 12 | 14% |
| Student > Ph. D. Student | 11 | 13% |
| Student > Bachelor | 9 | 10% |
| Student > Doctoral Student | 6 | 7% |
| Other | 16 | 18% |
| Unknown | 16 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 16% |
| Agricultural and Biological Sciences | 12 | 14% |
| Neuroscience | 10 | 11% |
| Psychology | 10 | 11% |
| Biochemistry, Genetics and Molecular Biology | 6 | 7% |
| Other | 14 | 16% |
| Unknown | 21 | 24% |
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 28 November 2018.
All research outputs
#13,885,035
of 22,701,287 outputs
Outputs from BMC Psychiatry
#2,899
of 4,646 outputs
Outputs of similar age
#78,221
of 100,953 outputs
Outputs of similar age from BMC Psychiatry
#7
of 15 outputs
Altmetric has tracked 22,701,287 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 4,646 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. This one is in the 35th percentile – i.e., 35% 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 100,953 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.