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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Fall predictors in older cancer patients: a multicenter prospective study
|
|---|---|
| Published in |
BMC Geriatrics, December 2014
|
| DOI | 10.1186/1471-2318-14-135 |
| Pubmed ID | |
| Authors |
Nathalie Vande Walle, Cindy Kenis, Pieter Heeren, Katrien Van Puyvelde, Lore Decoster, Ingo Beyer, Godelieve Conings, Johan Flamaing, Jean-Pierre Lobelle, Hans Wildiers, Koen Milisen |
| Abstract |
In the older population falls are a common problem and a major cause of morbidity, mortality and functional decline. The etiology is often multifactorial making the identification of fall predictors essential for preventive measures. Despite this knowledge, data on falls within the older cancer population are limited. The objective of this study was to evaluate the occurrence of falls within 2 to 3 months after cancer treatment decision and to identify predictors of falls (>=1 fall) during follow-up. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 104 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 21 | 20% |
| Student > Ph. D. Student | 16 | 15% |
| Researcher | 15 | 14% |
| Student > Bachelor | 11 | 10% |
| Other | 6 | 6% |
| Other | 17 | 16% |
| Unknown | 21 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 29 | 27% |
| Nursing and Health Professions | 17 | 16% |
| Psychology | 12 | 11% |
| Sports and Recreations | 4 | 4% |
| Agricultural and Biological Sciences | 3 | 3% |
| Other | 17 | 16% |
| Unknown | 25 | 23% |
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 19 January 2016.
All research outputs
#14,207,134
of 22,775,504 outputs
Outputs from BMC Geriatrics
#2,128
of 3,172 outputs
Outputs of similar age
#187,410
of 354,436 outputs
Outputs of similar age from BMC Geriatrics
#19
of 26 outputs
Altmetric has tracked 22,775,504 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,172 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one is in the 30th percentile – i.e., 30% 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 354,436 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 26 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.