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Epidemiological factors and worldwide pattern of Middle East respiratory syndrome coronavirus from 2013 to 2016

Overview of attention for article published in International Journal of General Medicine, April 2018
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  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

twitter
1 X user
peer_reviews
1 peer review site
facebook
1 Facebook page

Citations

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13 Dimensions

Readers on

mendeley
39 Mendeley
Title
Epidemiological factors and worldwide pattern of Middle East respiratory syndrome coronavirus from 2013 to 2016
Published in
International Journal of General Medicine, April 2018
DOI 10.2147/ijgm.s160741
Pubmed ID
Authors

Javad Aghazadeh-Attari, Iraj Mohebbi, Behnam Mansorian, Jamal Ahmadzadeh, Mohammad Mirza-Aghazadeh-Attari, Kazhal Mobaraki, Sima Oshnouei

Abstract

Middle East respiratory syndrome coronavirus (MERS-CoV) is an emerging threat to global health security with high intensity and lethality. This study was conducted to investigate epidemiological factors and patterns related to this disease. Full details of MERS-CoV cases available on the disease outbreak news section of the World Health Organization official website from January 2013 to November 2016 were retrieved; demographic and clinical information, global distribution status, potential contacts, and probable risk factors for the mortality of laboratory-confirmed MERS-CoV cases were extracted and analyzed by following standard statistical methods. Details of 1,094 laboratory-confirmed cases were recorded, including 421 related deaths. Significant differences were observed in the presentation of the disease from year to year, and all studied parameters differed during the years under study (all P-values <0.05). Evaluation of the effects of various potential risk factors of the final outcome (dead/survived) revealed that two factors, namely, the morbid case being native and travel history, are significant based on a unifactorial analysis (P <0.05). From 2013 to 2016, these factors remained important. However, factors that were significant in predicting mortality varied in different years. These findings point to interesting potential dimensions in the dynamic of this disease. Furthermore, effective national and international preparedness plans and actions are essential to prevent, control, and predict such viral outbreaks; improve patient management; and ensure global health security.

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

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 15%
Student > Ph. D. Student 4 10%
Student > Postgraduate 3 8%
Student > Master 3 8%
Student > Doctoral Student 2 5%
Other 6 15%
Unknown 15 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 18%
Medicine and Dentistry 4 10%
Veterinary Science and Veterinary Medicine 3 8%
Nursing and Health Professions 3 8%
Unspecified 1 3%
Other 4 10%
Unknown 17 44%
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 06 April 2018.
All research outputs
#15,879,822
of 25,584,565 outputs
Outputs from International Journal of General Medicine
#573
of 1,627 outputs
Outputs of similar age
#192,774
of 344,304 outputs
Outputs of similar age from International Journal of General Medicine
#5
of 11 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,627 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has gotten more attention than average, scoring higher than 63% 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 344,304 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 11 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 63% of its contemporaries.