You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mass spectrometry for the detection of potential psychiatric biomarkers
|
|---|---|
| Published in |
Journal of Molecular Psychiatry, June 2013
|
| DOI | 10.1186/2049-9256-1-8 |
| Pubmed ID | |
| Authors |
Armand G Ngounou Wetie, Izabela Sokolowska, Kelly Wormwood, Katherine Beglinger, Tanja Maria Michel, Johannes Thome, Costel C Darie, Alisa G Woods |
| Abstract |
The search for molecules that can act as potential biomarkers is increasing in the scientific community, including in the field of psychiatry. The field of proteomics is evolving and its indispensability for identifying biomarkers is clear. Among proteomic tools, mass spectrometry is the core technique for qualitative and quantitative identification of protein markers. While significant progress has been made in the understanding of biomarkers for neurodegenerative diseases such as Alzheimer's disease, multiple sclerosis and Parkinson's disease, psychiatric disorders have not been as extensively investigated. Recent and successful applications of mass spectrometry-based proteomics in fields such as cardiovascular disease, cancer, infectious diseases and neurodegenerative disorders suggest a similar path for psychiatric disorders. In this brief review, we describe mass spectrometry and its use in psychiatric biomarker research and highlight some of the possible challenges of undertaking this type of work. Further, specific examples of candidate biomarkers are highlighted. A short comparison of proteomic with genomic methods for biomarker discovery research is presented. In summary, mass spectrometry-based techniques may greatly facilitate ongoing efforts to understand molecular mechanisms of psychiatric disorders. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 2% |
| South Africa | 1 | 2% |
| Unknown | 50 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 21% |
| Researcher | 7 | 13% |
| Student > Master | 6 | 12% |
| Student > Doctoral Student | 5 | 10% |
| Student > Bachelor | 5 | 10% |
| Other | 11 | 21% |
| Unknown | 7 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 10 | 19% |
| Medicine and Dentistry | 8 | 15% |
| Agricultural and Biological Sciences | 8 | 15% |
| Chemistry | 4 | 8% |
| Psychology | 3 | 6% |
| Other | 9 | 17% |
| Unknown | 10 | 19% |
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 21 November 2014.
All research outputs
#16,919,456
of 25,654,806 outputs
Outputs from Journal of Molecular Psychiatry
#24
of 31 outputs
Outputs of similar age
#129,275
of 210,637 outputs
Outputs of similar age from Journal of Molecular Psychiatry
#10
of 11 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.0. This one scored the same or higher as 7 of them.
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 210,637 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.