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Local variations in the timing of RSV epidemics

Overview of attention for article published in BMC Infectious Diseases, November 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
31 Mendeley
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Title
Local variations in the timing of RSV epidemics
Published in
BMC Infectious Diseases, November 2016
DOI 10.1186/s12879-016-2004-2
Pubmed ID
Authors

Douglas B. Noveroske, Joshua L. Warren, Virginia E. Pitzer, Daniel M. Weinberger

Abstract

Respiratory syncytial virus (RSV) is a primary cause of hospitalizations in children worldwide. The timing of seasonal RSV epidemics needs to be known in order to administer prophylaxis to high-risk infants at the appropriate time. We used data from the Connecticut State Inpatient Database to identify RSV hospitalizations based on ICD-9 diagnostic codes. Harmonic regression analyses were used to evaluate RSV epidemic timing at the county level and ZIP code levels. Linear regression was used to investigate associations between the socioeconomic status of a locality and RSV epidemic timing. 9,740 hospitalizations coded as RSV occurred among children less than 2 years old between July 1, 1997 and June 30, 2013. The earliest ZIP code had a seasonal RSV epidemic that peaked, on average, 4.64 weeks earlier than the latest ZIP code. Earlier epidemic timing was significantly associated with demographic characteristics (higher population density and larger fraction of the population that was black). Seasonal RSV epidemics in Connecticut occurred earlier in areas that were more urban (higher population density and larger fraction of the population that was). These findings could be used to better time the administration of prophylaxis to high-risk infants.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 19%
Researcher 4 13%
Student > Master 4 13%
Student > Postgraduate 3 10%
Other 2 6%
Other 4 13%
Unknown 8 26%
Readers by discipline Count As %
Medicine and Dentistry 11 35%
Immunology and Microbiology 3 10%
Agricultural and Biological Sciences 2 6%
Mathematics 1 3%
Nursing and Health Professions 1 3%
Other 4 13%
Unknown 9 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 15 November 2016.
All research outputs
#4,263,998
of 23,192,960 outputs
Outputs from BMC Infectious Diseases
#1,386
of 7,778 outputs
Outputs of similar age
#69,930
of 311,669 outputs
Outputs of similar age from BMC Infectious Diseases
#39
of 214 outputs
Altmetric has tracked 23,192,960 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,778 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has done well, scoring higher than 81% 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 311,669 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 214 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.