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A simple respiratory severity score that may be used in evaluation of acute respiratory infection

Overview of attention for article published in BMC Research Notes, February 2016
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Title
A simple respiratory severity score that may be used in evaluation of acute respiratory infection
Published in
BMC Research Notes, February 2016
DOI 10.1186/s13104-016-1899-4
Pubmed ID
Authors

Hector Rodriguez, Tina V. Hartert, Tebeb Gebretsadik, Kecia N. Carroll, Emma K. Larkin

Abstract

Acute respiratory infections are ubiquitous and may have long-term implications on respiratory health. There are many scoring systems used to objectively measure severity of respiratory infections in clinical and research settings. A respiratory severity score derived exclusively from physical exam components (RSS-HR) was studied as an objective measure of disease severity and was compared to a previously described score that uses pulse oximetry as a component of its score (RSS-SO). A score was derived from 497 infants. The RSS-HR median score was higher in infants that were hospitalized (8.0) versus outpatient (4.0, p < 0.001), and those with lower respiratory tract infections (LRTI) (6.5) versus upper respiratory infections (URI) (1.0, p < 0.001). When discriminating upper versus LRTIs the concordance index of regression for RSS-HR was 0.91 and RSS-SO was 0.93. RSS-HR distinguishes disease severity based on level of care, as well as LRTI versus URI.

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The data shown below were collected from the profile of 1 X user 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 13%
Student > Master 6 13%
Student > Bachelor 5 10%
Student > Postgraduate 5 10%
Student > Ph. D. Student 4 8%
Other 10 21%
Unknown 12 25%
Readers by discipline Count As %
Medicine and Dentistry 23 48%
Nursing and Health Professions 3 6%
Materials Science 2 4%
Unspecified 1 2%
Social Sciences 1 2%
Other 3 6%
Unknown 15 31%
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 16 February 2016.
All research outputs
#18,441,836
of 22,849,304 outputs
Outputs from BMC Research Notes
#3,017
of 4,266 outputs
Outputs of similar age
#290,345
of 400,467 outputs
Outputs of similar age from BMC Research Notes
#86
of 115 outputs
Altmetric has tracked 22,849,304 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,266 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 16th percentile – i.e., 16% 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 400,467 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 115 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.