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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development of South Australian-Victorian Prostate Cancer Health Outcomes Research Dataset
|
|---|---|
| Published in |
BMC Research Notes, January 2016
|
| DOI | 10.1186/s13104-016-1855-3 |
| Pubmed ID | |
| Authors |
Rasa Ruseckaite, Kerri Beckmann, Michael O’Callaghan, David Roder, Kim Moretti, John Zalcberg, Jeremy Millar, Sue Evans |
| Abstract |
Prostate cancer is the most commonly diagnosed and prevalent malignancy reported to Australian cancer registries, with numerous studies from single institutions summarizing patient outcomes at individual hospitals or States. In order to provide an overview of patterns of care of men with prostate cancer across multiple institutions in Australia, a specialized dataset was developed. This dataset, containing amalgamated data from South Australian and Victorian prostate cancer registries, is called the South Australian-Victorian Prostate Cancer Health Outcomes Research Dataset (SA-VIC PCHORD). A total of 13,598 de-identified records of men with prostate cancer diagnosed and consented between 2008 and 2013 in South Australia and Victoria were merged into the SA-VIC PCHORD. SA-VIC PCHORD contains detailed information about socio-demographic, diagnostic and treatment characteristics of patients with prostate cancer in South Australia and Victoria. Data from individual registries are available to researchers and can be accessed under individual data access policies in each State. The SA-VIC PCHORD will be used for numerous studies summarizing trends in diagnostic characteristics, survival and patterns of care in men with prostate cancer in Victoria and South Australia. It is expected that in the future the SA-VIC PCHORD will become a principal component of the recently developed bi-national Australian and New Zealand Prostate Cancer Outcomes Registry to collect and report patterns of care and standardised patient reported outcome measures of men nation-wide in Australia and New Zealand. |
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 % |
|---|---|---|
| Australia | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 15% |
| Researcher | 3 | 15% |
| Student > Master | 3 | 15% |
| Librarian | 1 | 5% |
| Lecturer | 1 | 5% |
| Other | 4 | 20% |
| Unknown | 5 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 40% |
| Nursing and Health Professions | 2 | 10% |
| Computer Science | 2 | 10% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Unspecified | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 6 | 30% |
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 13 August 2016.
All research outputs
#15,368,104
of 22,862,742 outputs
Outputs from BMC Research Notes
#2,315
of 4,267 outputs
Outputs of similar age
#232,233
of 395,240 outputs
Outputs of similar age from BMC Research Notes
#81
of 139 outputs
Altmetric has tracked 22,862,742 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,267 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 33rd percentile – i.e., 33% 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 395,240 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 139 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.