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The Pathogen- and Incidence-Based DALY Approach: An Appropriated Methodology for Estimating the Burden of Infectious Diseases

Overview of attention for article published in PLOS ONE, November 2013
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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 (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

policy
2 policy sources

Citations

dimensions_citation
80 Dimensions

Readers on

mendeley
127 Mendeley
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Title
The Pathogen- and Incidence-Based DALY Approach: An Appropriated Methodology for Estimating the Burden of Infectious Diseases
Published in
PLOS ONE, November 2013
DOI 10.1371/journal.pone.0079740
Pubmed ID
Authors

Marie-Josée J. Mangen, Dietrich Plass, Arie H. Havelaar, Cheryl L. Gibbons, Alessandro Cassini, Nikolai Mühlberger, Alies van Lier, Juanita A. Haagsma, R. John Brooke, Taavi Lai, Chiara de Waure, Piotr Kramarz, Mirjam E. E. Kretzschmar, on behalf of the BCoDE consortium

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Cameroon 1 <1%
Germany 1 <1%
Unknown 125 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 20%
Student > Master 25 20%
Student > Ph. D. Student 15 12%
Professor 9 7%
Student > Bachelor 6 5%
Other 21 17%
Unknown 25 20%
Readers by discipline Count As %
Medicine and Dentistry 30 24%
Agricultural and Biological Sciences 16 13%
Nursing and Health Professions 7 6%
Immunology and Microbiology 6 5%
Engineering 5 4%
Other 31 24%
Unknown 32 25%
Attention Score in Context

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 13 September 2022.
All research outputs
#4,835,644
of 23,317,888 outputs
Outputs from PLOS ONE
#68,229
of 199,314 outputs
Outputs of similar age
#56,688
of 304,946 outputs
Outputs of similar age from PLOS ONE
#1,369
of 5,184 outputs
Altmetric has tracked 23,317,888 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 199,314 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one has gotten more attention than average, scoring higher than 64% 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 304,946 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 79% of its contemporaries.
We're also able to compare this research output to 5,184 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.