| Title |
The association between chronic illness, multimorbidity and depressive symptoms in an Australian primary care cohort
|
|---|---|
| Published in |
Social Psychiatry and Psychiatric Epidemiology, December 2010
|
| DOI | 10.1007/s00127-010-0330-z |
| Pubmed ID | |
| Authors |
Jane M. Gunn, Darshini R. Ayton, Konstancja Densley, Julie F. Pallant, Patty Chondros, Helen E. Herrman, Christopher F. Dowrick |
| Abstract |
To assess the link between multimorbidity, type of chronic physical health problems and depressive symptoms |
X Demographics
The data shown below were collected from the profiles of 8 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 | 2 | 25% |
| Australia | 2 | 25% |
| Canada | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 3 | 38% |
| Members of the public | 3 | 38% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
| Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 319 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Netherlands | 1 | <1% |
| France | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 315 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 57 | 18% |
| Student > Ph. D. Student | 53 | 17% |
| Researcher | 33 | 10% |
| Student > Bachelor | 28 | 9% |
| Student > Doctoral Student | 27 | 8% |
| Other | 53 | 17% |
| Unknown | 68 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 113 | 35% |
| Psychology | 44 | 14% |
| Nursing and Health Professions | 29 | 9% |
| Social Sciences | 16 | 5% |
| Agricultural and Biological Sciences | 9 | 3% |
| Other | 30 | 9% |
| Unknown | 78 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 33. 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 12 February 2019.
All research outputs
#1,120,963
of 24,353,295 outputs
Outputs from Social Psychiatry and Psychiatric Epidemiology
#198
of 2,648 outputs
Outputs of similar age
#5,554
of 189,626 outputs
Outputs of similar age from Social Psychiatry and Psychiatric Epidemiology
#3
of 23 outputs
Altmetric has tracked 24,353,295 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,648 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has done particularly well, scoring higher than 92% 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 189,626 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.