↓ Skip to main content

Nitrogen dioxide levels estimated from land use regression models several years apart and association with mortality in a large cohort study

Overview of attention for article published in Environmental Health, July 2012
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 X users

Citations

dimensions_citation
187 Dimensions

Readers on

mendeley
119 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Nitrogen dioxide levels estimated from land use regression models several years apart and association with mortality in a large cohort study
Published in
Environmental Health, July 2012
DOI 10.1186/1476-069x-11-48
Pubmed ID
Authors

Giulia Cesaroni, Daniela Porta, Chiara Badaloni, Massimo Stafoggia, Marloes Eeftens, Kees Meliefste, Francesco Forastiere

Abstract

Land Use Regression models (LUR) are useful to estimate the spatial variability of air pollution in urban areas. Few studies have evaluated the stability of spatial contrasts in outdoor nitrogen dioxide (NO₂) concentration over several years. We aimed to compare measured and estimated NO₂ levels 12 years apart, the stability of the exposure estimates for members of a large cohort study, and the association of the exposure estimates with natural mortality within the cohort.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 2%
Canada 1 <1%
Belarus 1 <1%
Belgium 1 <1%
United States 1 <1%
Unknown 113 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 37 31%
Student > Ph. D. Student 26 22%
Student > Master 15 13%
Student > Bachelor 6 5%
Student > Doctoral Student 4 3%
Other 15 13%
Unknown 16 13%
Readers by discipline Count As %
Environmental Science 38 32%
Medicine and Dentistry 17 14%
Agricultural and Biological Sciences 5 4%
Engineering 5 4%
Computer Science 5 4%
Other 19 16%
Unknown 30 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 01 October 2019.
All research outputs
#13,903,378
of 23,577,654 outputs
Outputs from Environmental Health
#1,003
of 1,529 outputs
Outputs of similar age
#92,052
of 165,192 outputs
Outputs of similar age from Environmental Health
#14
of 21 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,529 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 33.1. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
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 165,192 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.