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Prediction model for pneumonia in primary care patients with an acute respiratory tract infection: role of symptoms, signs, and biomarkers

Overview of attention for article published in BMC Infectious Diseases, November 2019
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
49 Mendeley
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Title
Prediction model for pneumonia in primary care patients with an acute respiratory tract infection: role of symptoms, signs, and biomarkers
Published in
BMC Infectious Diseases, November 2019
DOI 10.1186/s12879-019-4611-1
Pubmed ID
Authors

G. H. Groeneveld, J. W. van ’t Wout, N. J. Aarts, C. J. van Rooden, T. J. M. Verheij, C. M. Cobbaert, E. J. Kuijper, J. J. C. de Vries, J. T. van Dissel

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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 14%
Researcher 3 6%
Student > Postgraduate 3 6%
Professor > Associate Professor 3 6%
Student > Master 3 6%
Other 4 8%
Unknown 26 53%
Readers by discipline Count As %
Medicine and Dentistry 14 29%
Biochemistry, Genetics and Molecular Biology 3 6%
Materials Science 2 4%
Nursing and Health Professions 1 2%
Agricultural and Biological Sciences 1 2%
Other 6 12%
Unknown 22 45%
Attention Score in Context

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 18 April 2020.
All research outputs
#15,593,944
of 23,184,056 outputs
Outputs from BMC Infectious Diseases
#4,551
of 7,777 outputs
Outputs of similar age
#275,331
of 457,757 outputs
Outputs of similar age from BMC Infectious Diseases
#92
of 172 outputs
Altmetric has tracked 23,184,056 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 7,777 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 33rd percentile – i.e., 33% 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 457,757 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
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 is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.