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Shiga toxigenic Escherichia coli incidence is related to small area variation in cattle density in a region in Ireland

Overview of attention for article published in Science of the Total Environment, October 2018
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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 (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
8 tweeters

Citations

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2 Dimensions

Readers on

mendeley
25 Mendeley
Title
Shiga toxigenic Escherichia coli incidence is related to small area variation in cattle density in a region in Ireland
Published in
Science of the Total Environment, October 2018
DOI 10.1016/j.scitotenv.2018.05.038
Pubmed ID
Authors

C. Brehony, J. Cullinan, M. Cormican, D. Morris

Abstract

Shiga toxigenic Escherichia coli (STEC) are pathogenic E. coli that cause infectious diarrhoea. In some cases infection may be complicated by renal failure and death. The incidence of human infection with STEC in Ireland is the highest in Europe. The objective of the study was to examine the spatial incidence of human STEC infection in a region of Ireland with significantly higher rates of STEC incidence than the national average and to identify possible risk factors of STEC incidence at area level. Anonymised laboratory records (n = 379) from 2009 to 2015 were obtained from laboratories serving three counties in the West of Ireland. Data included location and sample date. Population and electoral division (ED) data were obtained from the Irish 2011 Census of Population. STEC incidence was calculated for each ED (n = 498) and used to map hotspots/coldspots using the Getis-Ord Gi* spatial statistic and significant spatial clustering using the Anselin's Local Moran's I statistic. Multivariable regression analysis was used to consider the importance of a number of potential predictors of STEC incidence. Incidence rates for the seven-year period ranged from 0 to 10.9 cases per 1000. A number of areas with significant local clustering of STEC incidence as well as variation in the spatial distribution of the two main serogroups associated with disease in the region i.e. O26 and O157 were identified. Cattle density was found to be a statistically significant predictor of STEC in the region. GIS analysis of routine data indicates that cattle density is associated STEC infection in this high incidence region. This finding points to the importance of agricultural practices for human health and the importance of a "one-health" approach to public policy in relation to agriculture, health and environment.

Twitter Demographics

The data shown below were collected from the profiles of 8 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 32%
Researcher 5 20%
Student > Doctoral Student 3 12%
Student > Ph. D. Student 3 12%
Student > Bachelor 1 4%
Other 1 4%
Unknown 4 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 16%
Immunology and Microbiology 4 16%
Environmental Science 3 12%
Medicine and Dentistry 2 8%
Nursing and Health Professions 1 4%
Other 5 20%
Unknown 6 24%

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 16 August 2018.
All research outputs
#2,429,805
of 13,381,736 outputs
Outputs from Science of the Total Environment
#2,015
of 10,411 outputs
Outputs of similar age
#73,330
of 271,256 outputs
Outputs of similar age from Science of the Total Environment
#107
of 478 outputs
Altmetric has tracked 13,381,736 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,411 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done well, scoring higher than 80% 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 271,256 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 72% of its contemporaries.
We're also able to compare this research output to 478 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.