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Use of Population-based Surveillance to Define the High Incidence of Shigellosis in an Urban Slum in Nairobi, Kenya

Overview of attention for article published in PLOS ONE, March 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 (75th percentile)

Mentioned by

policy
2 policy sources
twitter
1 X user

Citations

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29 Dimensions

Readers on

mendeley
121 Mendeley
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Title
Use of Population-based Surveillance to Define the High Incidence of Shigellosis in an Urban Slum in Nairobi, Kenya
Published in
PLOS ONE, March 2013
DOI 10.1371/journal.pone.0058437
Pubmed ID
Authors

Henry N. Njuguna, Leonard Cosmas, John Williamson, Dhillon Nyachieo, Beatrice Olack, John B. Ochieng, Newton Wamola, Joseph O. Oundo, Daniel R. Feikin, Eric D. Mintz, Robert F. Breiman

Abstract

Worldwide, Shigella causes an estimated 160 million infections and >1 million deaths annually. However, limited incidence data are available from African urban slums. We investigated the epidemiology of shigellosis and drug susceptibility patterns within a densely populated urban settlement in Nairobi, Kenya through population-based surveillance.

X Demographics

X Demographics

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

Geographical breakdown

Country Count As %
India 1 <1%
United States 1 <1%
France 1 <1%
Italy 1 <1%
Unknown 117 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 27 22%
Student > Ph. D. Student 17 14%
Researcher 15 12%
Student > Bachelor 9 7%
Other 6 5%
Other 21 17%
Unknown 26 21%
Readers by discipline Count As %
Medicine and Dentistry 32 26%
Agricultural and Biological Sciences 17 14%
Environmental Science 9 7%
Nursing and Health Professions 9 7%
Social Sciences 7 6%
Other 14 12%
Unknown 33 27%
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 10 May 2019.
All research outputs
#5,055,371
of 24,736,359 outputs
Outputs from PLOS ONE
#79,549
of 214,155 outputs
Outputs of similar age
#39,852
of 199,328 outputs
Outputs of similar age from PLOS ONE
#1,283
of 5,402 outputs
Altmetric has tracked 24,736,359 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 214,155 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has gotten more attention than average, scoring higher than 62% 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 199,328 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 5,402 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.