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Clinical prediction models for serious infections in children: external validation in ambulatory care

Overview of attention for article published in BMC Medicine, April 2023
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users

Citations

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1 Dimensions

Readers on

mendeley
11 Mendeley
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Title
Clinical prediction models for serious infections in children: external validation in ambulatory care
Published in
BMC Medicine, April 2023
DOI 10.1186/s12916-023-02860-4
Pubmed ID
Authors

David A. G. Bos, Tine De Burghgraeve, An De Sutter, Frank Buntinx, Jan Y. Verbakel

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 18%
Student > Ph. D. Student 1 9%
Researcher 1 9%
Student > Postgraduate 1 9%
Unknown 6 55%
Readers by discipline Count As %
Medicine and Dentistry 5 45%
Sports and Recreations 1 9%
Unknown 5 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 19 April 2023.
All research outputs
#16,693,466
of 24,626,543 outputs
Outputs from BMC Medicine
#3,355
of 3,808 outputs
Outputs of similar age
#230,668
of 397,071 outputs
Outputs of similar age from BMC Medicine
#98
of 116 outputs
Altmetric has tracked 24,626,543 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,808 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.9. This one is in the 11th percentile – i.e., 11% 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 397,071 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 116 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.