| Title |
Proceedings of the Canadian Frailty Network Workshop: Identifying Biomarkers of Frailty to Support Frailty Risk Assessment, Diagnosis and Prognosis. Toronto, January 15, 2018
|
|---|---|
| Published in |
The Journal of Frailty & Aging, April 2019
|
| DOI | 10.14283/jfa.2019.12 |
| Pubmed ID | |
| Authors |
John Muscedere, P. M. Kim, J. Afilalo, C. Balion, V. E. Baracos, D. Bowdish, M. Cesari, J. D. Erusalimsky, T. Fülöp, G. Heckman, S. E. Howlett, R. G. Khadaroo, J. L. Kirkland, L. Rodriguez Mañas, E. Marzetti, G. Paré, P. Raina, K. Rockwood, A. Sinclair, C. Skappak, C. Verschoor, S. Walter |
| Abstract |
The Canadian Frailty Network (CFN), a pan-Canadian not-for-profit organization funded by the Government of Canada through the Networks of Centres of Excellence Program, is dedicated to improving the care of older Canadians living with frailty. The CFN has partnered with the Canadian Longitudinal Study on Aging (CLSA) to measure potential frailty biomarkers in biological samples (whole blood, plasma, urine) collected in over 30,000 CLSA participants. CFN hosted a workshop in Toronto on January 15 2018, bringing together experts in the field of biomarkers, aging and frailty. The overall objectives of the workshop were to start building a consensus on potential frailty biomarker domains and identify specific frailty biomarkers to be measured in the CLSA biological samples. The workshop was structured with presentations in the morning to frame the discussions for the afternoon session, which was organized as a free-flowing discussion to benefit from the expertise of the participants. Participants and speakers were from Canada, Italy, Spain, United Kingdom and the United States. Herein we provide pertinent background information, a summary of all the presentations with key figures and tables, and the distillation of the discussions. In addition, moving forward, the principles CFN will use to approach frailty biomarker research and development are outlined. Findings from the workshop are helping CFN and CLSA plan and conduct the analysis of biomarkers in the CLSA samples and which will inform a follow-up data access competition. |
X Demographics
The data shown below were collected from the profiles of 29 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 6 | 21% |
| France | 5 | 17% |
| United States | 5 | 17% |
| Spain | 3 | 10% |
| United Kingdom | 1 | 3% |
| Unknown | 9 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 22 | 76% |
| Practitioners (doctors, other healthcare professionals) | 4 | 14% |
| Scientists | 2 | 7% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 18% |
| Researcher | 6 | 13% |
| Student > Doctoral Student | 5 | 11% |
| Student > Bachelor | 4 | 9% |
| Student > Master | 3 | 7% |
| Other | 8 | 18% |
| Unknown | 11 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 31% |
| Nursing and Health Professions | 4 | 9% |
| Agricultural and Biological Sciences | 3 | 7% |
| Engineering | 2 | 4% |
| Business, Management and Accounting | 1 | 2% |
| Other | 7 | 16% |
| Unknown | 14 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 16 September 2021.
All research outputs
#2,236,036
of 25,385,509 outputs
Outputs from The Journal of Frailty & Aging
#55
of 416 outputs
Outputs of similar age
#48,203
of 363,130 outputs
Outputs of similar age from The Journal of Frailty & Aging
#3
of 14 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 416 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one has done well, scoring higher than 86% 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 363,130 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 86% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.