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Mendeley readers
Attention Score in Context
| Title |
The application of selective reaction monitoring confirms dysregulation of glycolysis in a preclinical model of schizophrenia
|
|---|---|
| Published in |
BMC Research Notes, March 2012
|
| DOI | 10.1186/1756-0500-5-146 |
| Pubmed ID | |
| Authors |
Daniel Martins-de-Souza, Murtada Alsaif, Agnes Ernst, Laura W Harris, Nancy Aerts, Ilse Lenaerts, Pieter J Peeters, Bob Amess, Hassan Rahmoune, Sabine Bahn, Paul C Guest |
| Abstract |
Establishing preclinical models is essential for novel drug discovery in schizophrenia. Most existing models are characterized by abnormalities in behavioral readouts, which are informative, but do not necessarily translate to the symptoms of the human disease. Therefore, there is a necessity of characterizing the preclinical models from a molecular point of view. Selective reaction monitoring (SRM) has already shown promise in preclinical and clinical studies for multiplex measurement of diagnostic, prognostic and treatment-related biomarkers. |
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 % |
|---|---|---|
| Unknown | 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Netherlands | 1 | 2% |
| Unknown | 49 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 29% |
| Student > Master | 8 | 16% |
| Student > Bachelor | 8 | 16% |
| Other | 6 | 12% |
| Researcher | 3 | 6% |
| Other | 7 | 14% |
| Unknown | 4 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 35% |
| Medicine and Dentistry | 10 | 20% |
| Neuroscience | 5 | 10% |
| Psychology | 4 | 8% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Other | 6 | 12% |
| Unknown | 5 | 10% |
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 May 2012.
All research outputs
#18,306,425
of 22,665,794 outputs
Outputs from BMC Research Notes
#3,005
of 4,248 outputs
Outputs of similar age
#121,356
of 156,793 outputs
Outputs of similar age from BMC Research Notes
#37
of 46 outputs
Altmetric has tracked 22,665,794 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,248 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 16th percentile – i.e., 16% 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 156,793 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.