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Prediction of intracranial findings on CT-scans by alternative modelling techniques

Overview of attention for article published in BMC Medical Research Methodology, October 2011
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1 tweeter

Citations

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Readers on

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33 Mendeley
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.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 6%
Unknown 31 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 27%
Researcher 5 15%
Student > Master 5 15%
Professor 4 12%
Student > Doctoral Student 2 6%
Other 7 21%
Unknown 1 3%
Readers by discipline Count As %
Medicine and Dentistry 17 52%
Computer Science 4 12%
Engineering 3 9%
Psychology 2 6%
Mathematics 2 6%
Other 3 9%
Unknown 2 6%

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
#7,762,392
of 12,373,180 outputs
Outputs from BMC Medical Research Methodology
#779
of 1,095 outputs
Outputs of similar age
#62,017
of 105,584 outputs
Outputs of similar age from BMC Medical Research Methodology
#50
of 81 outputs
Altmetric has tracked 12,373,180 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,095 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one is in the 20th percentile – i.e., 20% 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 105,584 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 81 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.