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Retrospective assessment of patient characteristics and healthcare costs prior to a diagnosis of Alzheimer’s disease in an administrative claims database

Overview of attention for article published in BMC Geriatrics, October 2018
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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 (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
7 Mendeley
Title
Retrospective assessment of patient characteristics and healthcare costs prior to a diagnosis of Alzheimer’s disease in an administrative claims database
Published in
BMC Geriatrics, October 2018
DOI 10.1186/s12877-018-0920-2
Pubmed ID
Authors

Radhika Nair, Virginia S. Haynes, Mir Siadaty, Nick C. Patel, Adam S. Fleisher, Derek Van Amerongen, Michael M. Witte, AnnCatherine M. Downing, Leslie Ann Hazel Fernandez, Vishal Saundankar, Daniel E. Ball

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Unknown 7 100%
Readers by discipline Count As %
Unknown 7 100%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 19 October 2018.
All research outputs
#1,282,902
of 13,644,952 outputs
Outputs from BMC Geriatrics
#259
of 1,445 outputs
Outputs of similar age
#51,713
of 312,919 outputs
Outputs of similar age from BMC Geriatrics
#83
of 267 outputs
Altmetric has tracked 13,644,952 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,445 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.3. This one has done well, scoring higher than 81% 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 312,919 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 83% of its contemporaries.
We're also able to compare this research output to 267 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.