↓ Skip to main content

Mortality, morbidity and health in developed societies: a review of data sources

Overview of attention for article published in Genus, January 2018
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
67 Mendeley
Title
Mortality, morbidity and health in developed societies: a review of data sources
Published in
Genus, January 2018
DOI 10.1186/s41118-018-0027-9
Pubmed ID
Authors

Guillaume Wunsch, Catherine Gourbin

Abstract

The purpose of this paper is to review the major sources of data on mortality, morbidity and health in Europe and in other developed regions in order to examine their potential for analysing mortality and morbidity levels and trends. The review is primarily focused on routinely collected information covering a whole country. No attempt is made to draw up an inventory of sources by country; the paper deals instead with the pros and cons of each source for mortality and morbidity studies in demography. While each source considered separately can already yield useful, though partial, results, record linkage among data sources can significantly improve the analysis. Record linkage can also lead to the detection of possible causal associations that could eventually be confirmed. More generally, Big Data can reveal changing mortality and morbidity trends and patterns that could lead to preventive measures being taken rather than more costly curative ones.

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

Geographical breakdown

Country Count As %
Unknown 67 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 12%
Student > Master 7 10%
Student > Postgraduate 6 9%
Student > Ph. D. Student 6 9%
Researcher 5 7%
Other 18 27%
Unknown 17 25%
Readers by discipline Count As %
Medicine and Dentistry 14 21%
Computer Science 7 10%
Engineering 5 7%
Biochemistry, Genetics and Molecular Biology 4 6%
Nursing and Health Professions 3 4%
Other 16 24%
Unknown 18 27%

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 24 May 2018.
All research outputs
#11,815,065
of 18,635,251 outputs
Outputs from Genus
#59
of 71 outputs
Outputs of similar age
#211,428
of 382,226 outputs
Outputs of similar age from Genus
#1
of 1 outputs
Altmetric has tracked 18,635,251 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 71 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 14th percentile – i.e., 14% 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 382,226 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them