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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The SAKK cancer-specific geriatric assessment (C-SGA): a pilot study of a brieftool for clinical decision-making in older cancer patients
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, August 2013
|
| DOI | 10.1186/1472-6947-13-93 |
| Pubmed ID | |
| Authors |
Kerri M Clough-Gorr, Lea Noti, Peter Brauchli, Richard Cathomas, Marius R Fried, Gillian Roberts, Andreas E Stuck, Felicitas Hitz, Ulrich Mey |
| Abstract |
Recommendations from international task forces on geriatric assessment emphasize the need for research including validation of cancer-specific geriatric assessment (C-SGA) tools in oncological settings. The objective of this study was to evaluate the feasibility of the SAKK Cancer-Specific Geriatric Assessment (C-SGA) in clinical practice. |
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 % |
|---|---|---|
| India | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Switzerland | 1 | 2% |
| Unknown | 47 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 20% |
| Researcher | 7 | 14% |
| Librarian | 4 | 8% |
| Student > Doctoral Student | 4 | 8% |
| Student > Bachelor | 4 | 8% |
| Other | 15 | 31% |
| Unknown | 5 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 47% |
| Nursing and Health Professions | 4 | 8% |
| Psychology | 3 | 6% |
| Social Sciences | 2 | 4% |
| Mathematics | 1 | 2% |
| Other | 5 | 10% |
| Unknown | 11 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 30 August 2013.
All research outputs
#13,895,518
of 22,719,618 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,064
of 1,982 outputs
Outputs of similar age
#109,533
of 199,041 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#27
of 45 outputs
Altmetric has tracked 22,719,618 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,982 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 44th percentile – i.e., 44% 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 199,041 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.