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Pneumonia burden in elderly patients: a classification algorithm using administrative data

Overview of attention for article published in BMC Infectious Diseases, November 2013
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Title
Pneumonia burden in elderly patients: a classification algorithm using administrative data
Published in
BMC Infectious Diseases, November 2013
DOI 10.1186/1471-2334-13-559
Pubmed ID
Authors

Silvia Cascini, Nera Agabiti, Raffaele Antonelli Incalzi, Luigi Pinnarelli, Flavia Mayer, Massimo Arcà, Danilo Fusco, Marina Davoli

Abstract

Pneumonia has traditionally been classified into two subtypes: community-acquired pneumonia (CAP) and nosocomial pneumonia (NP). Recently, a new entity has been defined, called healthcare-associated pneumonia (HCAP). Few studies have investigated the potential of population-based, electronic, healthcare databases to identify the incidences of these three subtypes of pneumonia. The aim of this study was to estimate the burden of the three subtypes of pneumonia in elderly patients (aged 65+ years) in a large region of central Italy.

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

Geographical breakdown

Country Count As %
Spain 1 2%
Unknown 56 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 18%
Student > Bachelor 7 12%
Student > Postgraduate 6 11%
Other 5 9%
Student > Doctoral Student 4 7%
Other 11 19%
Unknown 14 25%
Readers by discipline Count As %
Medicine and Dentistry 29 51%
Agricultural and Biological Sciences 5 9%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Social Sciences 2 4%
Environmental Science 1 2%
Other 4 7%
Unknown 14 25%
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 27 November 2013.
All research outputs
#18,355,685
of 22,733,113 outputs
Outputs from BMC Infectious Diseases
#5,580
of 7,663 outputs
Outputs of similar age
#229,676
of 304,136 outputs
Outputs of similar age from BMC Infectious Diseases
#99
of 121 outputs
Altmetric has tracked 22,733,113 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 7,663 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 15th percentile – i.e., 15% 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 304,136 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 121 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.