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Influenza: a scientometric and density-equalizing analysis

Overview of attention for article published in BMC Infectious Diseases, September 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
11 tweeters

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
56 Mendeley
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Title
Influenza: a scientometric and density-equalizing analysis
Published in
BMC Infectious Diseases, September 2013
DOI 10.1186/1471-2334-13-454
Pubmed ID
Authors

Ralph Fricke, Stefanie Uibel, Doris Klingelhoefer, David A Groneberg

Abstract

Novel influenza in 2009 caused by H1N1, as well as the seasonal influenza, still are a challenge for the public health sectors worldwide. An increasing number of publications referring to this infectious disease make it difficult to distinguish relevant research output. The current study used scientometric indices for a detailed investigation on influenza related research activity and the method of density equalizing mapping to make the differences of the overall research worldwide obvious. The aim of the study was to compare scientific effort over the time as well as geographical distribution including the cooperation on national and international level.

Twitter Demographics

The data shown below were collected from the profiles of 11 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 2 4%
Unknown 54 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 13 23%
Student > Ph. D. Student 10 18%
Researcher 7 13%
Student > Master 6 11%
Librarian 5 9%
Other 11 20%
Unknown 4 7%
Readers by discipline Count As %
Medicine and Dentistry 22 39%
Social Sciences 7 13%
Arts and Humanities 4 7%
Agricultural and Biological Sciences 4 7%
Computer Science 3 5%
Other 7 13%
Unknown 9 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 02 October 2013.
All research outputs
#858,720
of 5,036,908 outputs
Outputs from BMC Infectious Diseases
#347
of 2,669 outputs
Outputs of similar age
#20,362
of 103,909 outputs
Outputs of similar age from BMC Infectious Diseases
#16
of 122 outputs
Altmetric has tracked 5,036,908 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,669 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done well, scoring higher than 86% 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 103,909 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 80% of its contemporaries.
We're also able to compare this research output to 122 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.