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Healing, surviving, or dying? – projecting the German future disease burden using a Markov illness-death model

Overview of attention for article published in BMC Public Health, January 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

blogs
1 blog
twitter
3 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
44 Mendeley
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Title
Healing, surviving, or dying? – projecting the German future disease burden using a Markov illness-death model
Published in
BMC Public Health, January 2021
DOI 10.1186/s12889-020-09941-6
Pubmed ID
Authors

Valeska Milan, Stefan Fetzer, Christian Hagist

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 9%
Professor 3 7%
Other 3 7%
Researcher 3 7%
Student > Bachelor 2 5%
Other 7 16%
Unknown 22 50%
Readers by discipline Count As %
Medicine and Dentistry 10 23%
Nursing and Health Professions 3 7%
Psychology 2 5%
Business, Management and Accounting 1 2%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 5 11%
Unknown 22 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 14 January 2021.
All research outputs
#3,605,138
of 24,616,908 outputs
Outputs from BMC Public Health
#4,198
of 16,279 outputs
Outputs of similar age
#97,019
of 515,531 outputs
Outputs of similar age from BMC Public Health
#81
of 341 outputs
Altmetric has tracked 24,616,908 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,279 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has gotten more attention than average, scoring higher than 74% 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 515,531 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 341 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.