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Impact of unlinked deaths and coding changes on mortality trends in the Swiss National Cohort

Overview of attention for article published in BMC Medical Informatics and Decision Making, January 2013
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1 tweeter

Citations

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44 Mendeley
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Title
Impact of unlinked deaths and coding changes on mortality trends in the Swiss National Cohort
Published in
BMC Medical Informatics and Decision Making, January 2013
DOI 10.1186/1472-6947-13-1
Pubmed ID
Authors

Kurt Schmidlin, Kerri M Clough-Gorr, Adrian Spoerri, Matthias Egger, Marcel Zwahlen

Abstract

Results of epidemiological studies linking census with mortality records may be affected by unlinked deaths and changes in cause of death classification. We examined these issues in the Swiss National Cohort (SNC).

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 2 5%
Portugal 1 2%
Unknown 41 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 34%
Other 5 11%
Student > Bachelor 4 9%
Student > Ph. D. Student 4 9%
Student > Master 4 9%
Other 7 16%
Unknown 5 11%
Readers by discipline Count As %
Medicine and Dentistry 21 48%
Psychology 4 9%
Social Sciences 3 7%
Mathematics 2 5%
Computer Science 2 5%
Other 4 9%
Unknown 8 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 04 January 2013.
All research outputs
#8,250,942
of 10,502,506 outputs
Outputs from BMC Medical Informatics and Decision Making
#868
of 1,044 outputs
Outputs of similar age
#215,247
of 307,439 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#56
of 59 outputs
Altmetric has tracked 10,502,506 research outputs across all sources so far. This one is in the 12th percentile – i.e., 12% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,044 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 1st percentile – i.e., 1% 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 307,439 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.