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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 (94th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

policy
2 policy sources
twitter
14 X users
patent
2 patents
facebook
1 Facebook page

Citations

dimensions_citation
42 Dimensions

Readers on

mendeley
127 Mendeley
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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, the European Research Network on Recognising Serious Infection (ERNIE)

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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 127 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 124 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 16%
Student > Ph. D. Student 16 13%
Student > Master 16 13%
Student > Postgraduate 14 11%
Student > Bachelor 11 9%
Other 29 23%
Unknown 21 17%
Readers by discipline Count As %
Medicine and Dentistry 76 60%
Nursing and Health Professions 6 5%
Agricultural and Biological Sciences 5 4%
Computer Science 3 2%
Social Sciences 2 2%
Other 8 6%
Unknown 27 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 01 March 2023.
All research outputs
#1,594,141
of 23,474,618 outputs
Outputs from BMC Medicine
#1,117
of 3,539 outputs
Outputs of similar age
#16,891
of 310,519 outputs
Outputs of similar age from BMC Medicine
#32
of 77 outputs
Altmetric has tracked 23,474,618 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,539 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.7. This one has gotten more attention than average, scoring higher than 68% 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 310,519 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 94% of its contemporaries.
We're also able to compare this research output to 77 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 59% of its contemporaries.