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Quantifying the burden of disease due to premature mortality in Hong Kong using standard expected years of life lost

Overview of attention for article published in BMC Public Health, September 2013
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 tweeters
facebook
1 Facebook page

Citations

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31 Dimensions

Readers on

mendeley
523 Mendeley

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Title
Quantifying the burden of disease due to premature mortality in Hong Kong using standard expected years of life lost
Published in
BMC Public Health, September 2013
DOI 10.1186/1471-2458-13-863
Pubmed ID
24044523
Authors

Dietrich Plass, Patsy Yuen Kwan Chau, Thuan Quoc Thach, Heiko J Jahn, Poh Chin Lai, Chit Ming Wong, Alexander Kraemer

Abstract

To complement available information on mortality in a population Standard Expected Years of Life Lost (SEYLL), an indicator of premature mortality, is increasingly used to calculate the mortality-associated disease burden. SEYLL consider the age at death and therefore allow a more accurate view on mortality patterns as compared to routinely used measures (e.g. death counts). This study provides a comprehensive assessment of disease and injury SEYLL for Hong Kong in 2010.

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Twitter Demographics

The data shown below were collected from the profiles of 2 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 523 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 523 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 14 3%
Student > Ph. D. Student 12 2%
Researcher 10 2%
Student > Master 8 2%
Student > Postgraduate 7 1%
Other 18 3%
Unknown 454 87%
Readers by discipline Count As %
Medicine and Dentistry 23 4%
Social Sciences 7 1%
Nursing and Health Professions 6 1%
Psychology 6 1%
Engineering 5 <1%
Other 17 3%
Unknown 459 88%

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 25 April 2019.
All research outputs
#14,760,611
of 22,721,584 outputs
Outputs from BMC Public Health
#10,841
of 14,799 outputs
Outputs of similar age
#119,249
of 201,958 outputs
Outputs of similar age from BMC Public Health
#224
of 289 outputs
Altmetric has tracked 22,721,584 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,799 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 23rd percentile – i.e., 23% 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 201,958 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 289 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.

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