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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Cohort profile: Canadian study of prediction of death, dialysis and interim cardiovascular events (CanPREDDICT)
|
|---|---|
| Published in |
BMC Nephrology, June 2013
|
| DOI | 10.1186/1471-2369-14-121 |
| Pubmed ID | |
| Authors |
Adeera Levin, Claudio Rigatto, Barrett Brendan, François Madore, Norman Muirhead, Daniel Holmes, Catherine M Clase, Mila Tang, Ognjenka Djurdjev |
| Abstract |
The Canadian Study of Prediction of Death, Dialysis and Interim Cardiovascular Events (CanPREDDICT) is a large, prospective, pan-Canadian, cohort study designed to improve our understanding of determinants of renal and cardiovascular (CV) disease progression in patients with chronic kidney disease (CKD). The primary objective is to clarify the associations between traditional and newer biomarkers in the prediction of specific renal and CV events, and of death in patients with CKD managed by nephrologists. This information could then be used to better understand biological variation in outcomes, to develop clinical prediction models and to inform enrolment into interventional studies which may lead to novel treatments. |
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 % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Russia | 1 | 1% |
| Australia | 1 | 1% |
| Unknown | 78 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 16% |
| Researcher | 11 | 14% |
| Student > Master | 11 | 14% |
| Student > Doctoral Student | 8 | 10% |
| Other | 8 | 10% |
| Other | 15 | 19% |
| Unknown | 14 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 37 | 46% |
| Agricultural and Biological Sciences | 5 | 6% |
| Nursing and Health Professions | 5 | 6% |
| Biochemistry, Genetics and Molecular Biology | 4 | 5% |
| Social Sciences | 3 | 4% |
| Other | 10 | 13% |
| Unknown | 16 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 01 March 2022.
All research outputs
#3,754,021
of 23,230,825 outputs
Outputs from BMC Nephrology
#378
of 2,512 outputs
Outputs of similar age
#32,310
of 198,470 outputs
Outputs of similar age from BMC Nephrology
#6
of 63 outputs
Altmetric has tracked 23,230,825 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,512 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 84% 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 198,470 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 83% of its contemporaries.
We're also able to compare this research output to 63 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 90% of its contemporaries.