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Improving the usefulness of US mortality data: new methods for reclassification of underlying cause of death

Overview of attention for article published in Population Health Metrics, April 2016
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users

Citations

dimensions_citation
47 Dimensions

Readers on

mendeley
61 Mendeley
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Title
Improving the usefulness of US mortality data: new methods for reclassification of underlying cause of death
Published in
Population Health Metrics, April 2016
DOI 10.1186/s12963-016-0082-4
Pubmed ID
Authors

Kyle J. Foreman, Mohsen Naghavi, Majid Ezzati

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

Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 18%
Student > Ph. D. Student 8 13%
Student > Master 7 11%
Student > Doctoral Student 7 11%
Professor > Associate Professor 3 5%
Other 11 18%
Unknown 14 23%
Readers by discipline Count As %
Medicine and Dentistry 26 43%
Nursing and Health Professions 5 8%
Social Sciences 4 7%
Environmental Science 2 3%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 9 15%
Unknown 13 21%
Attention Score in Context

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 16 May 2022.
All research outputs
#16,443,300
of 25,837,817 outputs
Outputs from Population Health Metrics
#311
of 417 outputs
Outputs of similar age
#173,003
of 314,719 outputs
Outputs of similar age from Population Health Metrics
#10
of 13 outputs
Altmetric has tracked 25,837,817 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 417 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one is in the 21st percentile – i.e., 21% 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 314,719 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 13 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.