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Method for Assigning Priority Levels in Acute Care (MAPLe-AC) predicts outcomes of acute hospital care of older persons - a cross-national validation

Overview of attention for article published in BMC Medical Informatics and Decision Making, June 2011
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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 (73rd percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
55 Mendeley
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Title
Method for Assigning Priority Levels in Acute Care (MAPLe-AC) predicts outcomes of acute hospital care of older persons - a cross-national validation
Published in
BMC Medical Informatics and Decision Making, June 2011
DOI 10.1186/1472-6947-11-39
Pubmed ID
Authors

Anja Noro, Jeffrey W Poss, John P Hirdes, Harriet Finne-Soveri, Gunnar Ljunggren, Jan Björnsson, Marianne Schroll, Palmi V Jonsson

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 2%
Unknown 54 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 20%
Researcher 8 15%
Student > Ph. D. Student 6 11%
Student > Bachelor 4 7%
Student > Doctoral Student 4 7%
Other 11 20%
Unknown 11 20%
Readers by discipline Count As %
Medicine and Dentistry 15 27%
Nursing and Health Professions 9 16%
Social Sciences 4 7%
Computer Science 3 5%
Engineering 2 4%
Other 6 11%
Unknown 16 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 03 August 2016.
All research outputs
#3,800,024
of 22,881,964 outputs
Outputs from BMC Medical Informatics and Decision Making
#323
of 1,994 outputs
Outputs of similar age
#19,666
of 112,571 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#5
of 19 outputs
Altmetric has tracked 22,881,964 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,994 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 83% 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 112,571 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 19 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 73% of its contemporaries.