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Particulate matter and atherosclerosis: a bibliometric analysis of original research articles published in 1973–2014

Overview of attention for article published in BMC Public Health, April 2016
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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 (73rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

blogs
1 blog
facebook
1 Facebook page

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
65 Mendeley
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Title
Particulate matter and atherosclerosis: a bibliometric analysis of original research articles published in 1973–2014
Published in
BMC Public Health, April 2016
DOI 10.1186/s12889-016-3015-z
Pubmed ID
Authors

Feifei Wang, Xiaofeng Jia, Xianliang Wang, Yongdong Zhao, Weidong Hao

Abstract

Epidemiological and experimental studies have suggested that exposure to particulate air pollution may promote progression of atherosclerosis. In the present study, the characteristics and trends of the research field of particulate matter (PM) and atherosclerosis were analyzed using bibliometric indicators. Bibliometric analysis was based on original papers obtained from PubMed/MEDLINE search results (from 1973 to 2014) using Medical Subject Headings (MeSH) terms. A fully-detailed search strategy was employed, and articles were imported into the Thomson Data Analyzer (TDA) software. The visualizing network of the collaborative researchers was analyzed by Ucinet 6 software. Main research topics and future focuses were explored by co-word and cluster analysis. The characteristics of these research articles were summarized. The number of published articles has increased from five for the period 1973-1978 to 89 for the period 2009-2014. Tobacco smoke pollution, smoke and air PM were the most studied targets in this research field. Coronary disease was the top health outcome posed by PM exposure. The aorta and endothelium vascular were the principal locations of atherosclerotic lesions, which were enhanced by PM exposure. Oxidative stress and inflammation were of special concern in the current mechanistic research system. The top high-frequency MeSH terms were clustered, and four popular topics were further presented. Based on the quantitative analysis of bibliographic information and MeSH terms, we were able to define the study characteristics and popular topics in the field of PM and atherosclerosis. Our analysis would provide a comprehensive background reference for researchers in this field of study.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 15%
Student > Ph. D. Student 7 11%
Student > Bachelor 6 9%
Librarian 3 5%
Other 3 5%
Other 13 20%
Unknown 23 35%
Readers by discipline Count As %
Medicine and Dentistry 9 14%
Social Sciences 7 11%
Agricultural and Biological Sciences 4 6%
Nursing and Health Professions 4 6%
Engineering 4 6%
Other 11 17%
Unknown 26 40%
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 08 February 2017.
All research outputs
#5,647,106
of 22,875,477 outputs
Outputs from BMC Public Health
#5,601
of 14,917 outputs
Outputs of similar age
#79,817
of 299,215 outputs
Outputs of similar age from BMC Public Health
#88
of 188 outputs
Altmetric has tracked 22,875,477 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,917 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. 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 299,215 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 188 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 53% of its contemporaries.