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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predicting length of stay from an electronic patient record system: a primary total knee replacement example
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, April 2014
|
| DOI | 10.1186/1472-6947-14-26 |
| Pubmed ID | |
| Authors |
Evelene M Carter, Henry WW Potts |
| Abstract |
To investigate whether factors can be identified that significantly affect hospital length of stay from those available in an electronic patient record system, using primary total knee replacements as an example. To investigate whether a model can be produced to predict the length of stay based on these factors to help resource planning and patient expectations on their length of stay. |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 36% |
| India | 2 | 18% |
| New Zealand | 1 | 9% |
| Unknown | 4 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 55% |
| Practitioners (doctors, other healthcare professionals) | 3 | 27% |
| Scientists | 2 | 18% |
Mendeley readers
The data shown below were compiled from readership statistics for 206 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Australia | 1 | <1% |
| Unknown | 200 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 36 | 17% |
| Student > Ph. D. Student | 32 | 16% |
| Researcher | 24 | 12% |
| Student > Bachelor | 16 | 8% |
| Student > Postgraduate | 9 | 4% |
| Other | 37 | 18% |
| Unknown | 52 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 48 | 23% |
| Business, Management and Accounting | 16 | 8% |
| Computer Science | 12 | 6% |
| Engineering | 11 | 5% |
| Nursing and Health Professions | 11 | 5% |
| Other | 48 | 23% |
| Unknown | 60 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 05 April 2021.
All research outputs
#3,132,858
of 23,379,207 outputs
Outputs from BMC Medical Informatics and Decision Making
#253
of 2,026 outputs
Outputs of similar age
#32,372
of 227,583 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 29 outputs
Altmetric has tracked 23,379,207 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,026 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 87% 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 227,583 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 85% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.