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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

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

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11 X users

Citations

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48 Dimensions

Readers on

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62 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 2 3%
Unknown 60 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 13 21%
Student > Ph. D. Student 10 16%
Researcher 7 11%
Student > Master 5 8%
Librarian 4 6%
Other 12 19%
Unknown 11 18%
Readers by discipline Count As %
Medicine and Dentistry 22 35%
Social Sciences 6 10%
Arts and Humanities 4 6%
Agricultural and Biological Sciences 4 6%
Computer Science 3 5%
Other 7 11%
Unknown 16 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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
#6,334,755
of 23,881,329 outputs
Outputs from BMC Infectious Diseases
#1,911
of 7,931 outputs
Outputs of similar age
#54,573
of 208,689 outputs
Outputs of similar age from BMC Infectious Diseases
#27
of 146 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 7,931 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done well, scoring higher than 75% 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 208,689 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.