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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The use of predictive fall models for older adults receiving aged care, using routinely collected electronic health record data: a systematic review
|
|---|---|
| Published in |
BMC Geriatrics, March 2022
|
| DOI | 10.1186/s12877-022-02901-2 |
| Pubmed ID | |
| Authors |
Karla Seaman, Kristiana Ludlow, Nasir Wabe, Laura Dodds, Joyce Siette, Amy Nguyen, Mikaela Jorgensen, Stephen R. Lord, Jacqueline C. T. Close, Libby O’Toole, Caroline Lin, Annaliese Eymael, Johanna Westbrook |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 5 | 50% |
| United Kingdom | 1 | 10% |
| Curaçao | 1 | 10% |
| France | 1 | 10% |
| Unknown | 2 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 60% |
| Members of the public | 4 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 57 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 9% |
| Researcher | 4 | 7% |
| Student > Ph. D. Student | 4 | 7% |
| Student > Doctoral Student | 3 | 5% |
| Lecturer | 3 | 5% |
| Other | 8 | 14% |
| Unknown | 30 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 12 | 21% |
| Unspecified | 2 | 4% |
| Engineering | 2 | 4% |
| Medicine and Dentistry | 2 | 4% |
| Computer Science | 2 | 4% |
| Other | 4 | 7% |
| Unknown | 33 | 58% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 23 March 2022.
All research outputs
#4,841,662
of 23,400,864 outputs
Outputs from BMC Geriatrics
#1,252
of 3,159 outputs
Outputs of similar age
#110,480
of 443,754 outputs
Outputs of similar age from BMC Geriatrics
#48
of 182 outputs
Altmetric has tracked 23,400,864 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,159 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one has gotten more attention than average, scoring higher than 60% 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 443,754 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 182 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.