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How well do clinical prediction rules perform in identifying serious infections in acutely ill children across an international network of ambulatory care datasets?

Overview of attention for article published in BMC Medicine, January 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

policy
2 policy sources
twitter
15 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
92 Mendeley
Title
How well do clinical prediction rules perform in identifying serious infections in acutely ill children across an international network of ambulatory care datasets?
Published in
BMC Medicine, January 2013
DOI 10.1186/1741-7015-11-10
Pubmed ID
Authors

Jan Y Verbakel, Ann Van den Bruel, Matthew Thompson, Richard Stevens, Bert Aertgeerts, Rianne Oostenbrink, Henriette A Moll, Marjolein Y Berger, Monica Lakhanpaul, David Mant, Frank Buntinx

Abstract

Diagnosing serious infections in children is challenging, because of the low incidence of such infections and their non-specific presentation early in the course of illness. Prediction rules are promoted as a means to improve recognition of serious infections. A recent systematic review identified seven clinical prediction rules, of which only one had been prospectively validated, calling into question their appropriateness for clinical practice. We aimed to examine the diagnostic accuracy of these rules in multiple ambulatory care populations in Europe.

Twitter Demographics

The data shown below were collected from the profiles of 15 tweeters 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 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Netherlands 1 1%
Canada 1 1%
Unknown 89 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 23%
Student > Postgraduate 12 13%
Student > Ph. D. Student 12 13%
Student > Master 10 11%
Student > Bachelor 8 9%
Other 29 32%
Readers by discipline Count As %
Medicine and Dentistry 63 68%
Unspecified 12 13%
Social Sciences 5 5%
Nursing and Health Professions 4 4%
Agricultural and Biological Sciences 2 2%
Other 6 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 02 July 2018.
All research outputs
#1,034,864
of 13,753,853 outputs
Outputs from BMC Medicine
#817
of 2,168 outputs
Outputs of similar age
#21,021
of 284,748 outputs
Outputs of similar age from BMC Medicine
#56
of 172 outputs
Altmetric has tracked 13,753,853 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,168 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 35.2. This one has gotten more attention than average, scoring higher than 62% 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 284,748 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 172 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 67% of its contemporaries.