| Title |
Late-life depression: issues for the general practitioner
|
|---|---|
| Published in |
International Journal of General Medicine, March 2018
|
| DOI | 10.2147/ijgm.s154876 |
| Pubmed ID | |
| Authors |
Axel Van Damme, Tom Declercq, Lieve Lemey, Hannelore Tandt, Mirko Petrovic |
| Abstract |
Late-life depression (LLD) is both a prevalent and life-threatening disorder, affecting up to 13.3% of the elderly population. LLD can be difficult to identify because patients mainly consult their general practitioner (GP) for somatic complaints. Moreover, patients may be hesitant to express the problem to their GP. Increased vigilance on the part of the GP can only benefit older people with depression. To recognize the risk of LLD, screening tools are provided in addition to treatment options for LLD. This review aims to provide the GP with guidance in recognizing and treating LLD. It tries to connect mainstream etiologies of LLD (e.g., vascular, inflammation, hypothalamo-pituitary-adrenal axis) with risk factors and current therapies. Therefore, we provide a basis to the GP for decision-making when choosing an appropriate therapy for LLD. |
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 % |
|---|---|---|
| Belgium | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 149 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 21 | 14% |
| Student > Postgraduate | 13 | 9% |
| Student > Ph. D. Student | 11 | 7% |
| Student > Master | 11 | 7% |
| Researcher | 10 | 7% |
| Other | 27 | 18% |
| Unknown | 56 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 38 | 26% |
| Psychology | 15 | 10% |
| Nursing and Health Professions | 14 | 9% |
| Neuroscience | 3 | 2% |
| Biochemistry, Genetics and Molecular Biology | 3 | 2% |
| Other | 19 | 13% |
| Unknown | 57 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 07 November 2021.
All research outputs
#2,636,322
of 23,031,582 outputs
Outputs from International Journal of General Medicine
#123
of 1,466 outputs
Outputs of similar age
#57,557
of 331,165 outputs
Outputs of similar age from International Journal of General Medicine
#2
of 13 outputs
Altmetric has tracked 23,031,582 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,466 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one has done particularly well, scoring higher than 91% 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 331,165 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.