Biomarkers of suicidal behaviors: A comprehensive critical review
Advances in Clinical Chemistry, ISSN: 0065-2423, Vol: 96, Page: 179-216
2020
- 27Citations
- 56Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations27
- Citation Indexes26
- 26
- CrossRef2
- Policy Citations1
- 1
- Captures56
- Readers56
- 56
Article Description
Suicide is a relevant worldwide public health problem. Many studies have shown that different demographic and clinical factors are potentially associated with suicidal behavior. Other studies have reported data about the role of biomarkers in the onset of suicidal behaviors. Specifically, researchers have found that suicidal risk may be increased by abnormalities in serotonergic system, hypothalamic-pituitary-adrenal axis, lipid metabolism, immune system and neuronal plasticity. The identification of specific biological parameters associated with self-harm may be helpful to implement prevention strategies and also to detect new therapeutic strategies. In this review, we summarize and analyze the results of main studies about neurobiological mechanisms related to suicidal behavior, also exploring the possible interconnection between the different biological systems.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0065242319301027; http://dx.doi.org/10.1016/bs.acc.2019.11.005; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85076235413&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/32362318; https://linkinghub.elsevier.com/retrieve/pii/S0065242319301027; https://doi.org/10.1016%2Fbs.acc.2019.11.005; https://dx.doi.org/10.1016/bs.acc.2019.11.005
Elsevier BV
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