↓ Skip to main content

BURDEN 2020—Burden of disease in Germany at the national and regional level

Overview of attention for article published in Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz, August 2018
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

policy
1 policy source
twitter
2 X users

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
26 Mendeley
Title
BURDEN 2020—Burden of disease in Germany at the national and regional level
Published in
Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz, August 2018
DOI 10.1007/s00103-018-2793-0
Pubmed ID
Authors

Alexander Rommel, Elena von der Lippe, Dietrich Plaß, Annelene Wengler, Aline Anton, Christian Schmidt, Katrin Schüssel, Gabriela Brückner, Helmut Schröder, Michael Porst, Janko Leddin, Myriam Tobollik, Jens Baumert, Christa Scheidt-Nave, Thomas Ziese

Abstract

Evidence-based policy measures need non-interest-guided information about the health status of a population and the diseases that affect the population the most. In such cases, a national burden of disease study can provide reliable insights at the regional level. This article presents the potential of the BURDEN 2020 project and its expected outcome for Germany at the national and regional level. The BURDEN 2020 project uses several indicators including years of life lost (YLL) to cover the impact of mortality and years lived with disability (YLD) to cover morbidity. The sum of both is the measure of population health called disability adjusted life years (DALY). The study ranks individual diseases and risk factors based on their impact on population health. The burden of disease approach is assumed to be sensitive to subnational differences and may generate immediate benefits for regional planning. The BURDEN 2020 study will pilot a national burden of disease study for Germany that will later be transformed into a continuous data processing and visualization tool. This is done by using, modifying and supplementing the methodology employed by the Global Burden of Disease (GBD) study to better fit the needs of health policy in Germany. This study is aimed at calculating the disease burden for up to 17 preselected diseases. Furthermore, the estimates of burden of disease are attributed to a selected set of risk factors. The Burden 2020 study will provide the results of a new, health-related data processing system to the public. This includes a noninterest-guided presentation of the burden of disease (DALY) in Germany at the national and regional level.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 31%
Student > Bachelor 3 12%
Student > Ph. D. Student 3 12%
Student > Master 3 12%
Professor > Associate Professor 2 8%
Other 1 4%
Unknown 6 23%
Readers by discipline Count As %
Medicine and Dentistry 7 27%
Nursing and Health Professions 2 8%
Economics, Econometrics and Finance 2 8%
Social Sciences 2 8%
Psychology 1 4%
Other 3 12%
Unknown 9 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 15 October 2021.
All research outputs
#6,605,422
of 23,358,705 outputs
Outputs from Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz
#305
of 954 outputs
Outputs of similar age
#114,144
of 331,483 outputs
Outputs of similar age from Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz
#13
of 20 outputs
Altmetric has tracked 23,358,705 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 954 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has gotten more attention than average, scoring higher than 66% 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 331,483 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 64% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.