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Mendeley readers
Attention Score in Context
Title |
Prediction of falls using a risk assessment tool in the acute care setting
|
---|---|
Published in |
BMC Medicine, January 2004
|
DOI | 10.1186/1741-7015-2-1 |
Pubmed ID | |
Authors |
Alexandra Papaioannou, William Parkinson, Richard Cook, Nicole Ferko, Esther Coker, Jonathan D Adachi |
Abstract |
The British STRATIFY tool was previously developed to predict falls in hospital. Although the tool has several strengths, certain limitations exist which may not allow generalizability to a Canadian setting. Thus, we tested the STRATIFY tool with some modification and re-weighting of items in Canadian hospitals. |
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 % |
---|---|---|
Italy | 2 | 2% |
United States | 1 | <1% |
Switzerland | 1 | <1% |
Australia | 1 | <1% |
Unknown | 102 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 16 | 15% |
Student > Ph. D. Student | 14 | 13% |
Student > Master | 14 | 13% |
Researcher | 10 | 9% |
Other | 7 | 7% |
Other | 18 | 17% |
Unknown | 28 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 30 | 28% |
Nursing and Health Professions | 19 | 18% |
Agricultural and Biological Sciences | 4 | 4% |
Social Sciences | 3 | 3% |
Sports and Recreations | 3 | 3% |
Other | 15 | 14% |
Unknown | 33 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 25 November 2013.
All research outputs
#5,550,384
of 22,733,113 outputs
Outputs from BMC Medicine
#2,216
of 3,413 outputs
Outputs of similar age
#24,583
of 133,551 outputs
Outputs of similar age from BMC Medicine
#2
of 3 outputs
Altmetric has tracked 22,733,113 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,413 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.5. This one is in the 34th percentile – i.e., 34% 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 133,551 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 81% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.