| Title |
Prediction of intracranial findings on CT-scans by alternative modelling techniques
|
|---|---|
| Published in |
BMC Medical Research Methodology, October 2011
|
| DOI | 10.1186/1471-2288-11-143 |
| Pubmed ID | |
| Authors |
Tjeerd van der Ploeg, Marion Smits, Diederik W Dippel, Myriam Hunink, Ewout W Steyerberg |
| Abstract |
Prediction rules for intracranial traumatic findings in patients with minor head injury are designed to reduce the use of computed tomography (CT) without missing patients at risk for complications. This study investigates whether alternative modelling techniques might improve the applicability and simplicity of such prediction rules. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 2 | 4% |
| Unknown | 53 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 20% |
| Student > Master | 6 | 11% |
| Researcher | 5 | 9% |
| Student > Bachelor | 4 | 7% |
| Professor | 4 | 7% |
| Other | 9 | 16% |
| Unknown | 16 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 33% |
| Computer Science | 5 | 9% |
| Psychology | 4 | 7% |
| Engineering | 3 | 5% |
| Neuroscience | 3 | 5% |
| Other | 5 | 9% |
| Unknown | 17 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 09 November 2011.
All research outputs
#15,238,442
of 22,656,971 outputs
Outputs from BMC Medical Research Methodology
#1,498
of 2,000 outputs
Outputs of similar age
#95,762
of 140,376 outputs
Outputs of similar age from BMC Medical Research Methodology
#13
of 23 outputs
Altmetric has tracked 22,656,971 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,000 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 16th percentile – i.e., 16% 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 140,376 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.