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Design and implementation of a clinical decision support tool for primary palliative Care for Emergency Medicine (PRIM-ER)

Overview of attention for article published in BMC Medical Informatics and Decision Making, January 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)

Mentioned by

twitter
9 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
60 Mendeley
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Title
Design and implementation of a clinical decision support tool for primary palliative Care for Emergency Medicine (PRIM-ER)
Published in
BMC Medical Informatics and Decision Making, January 2020
DOI 10.1186/s12911-020-1021-7
Pubmed ID
Authors

Audrey Tan, Mark Durbin, Frank R. Chung, Ada L. Rubin, Allison M. Cuthel, Jordan A. McQuilkin, Aram S. Modrek, Catherine Jamin, Nicholas Gavin, Devin Mann, Jordan L. Swartz, Jonathan S. Austrian, Paul A. Testa, Jacob D. Hill, Corita R. Grudzen

Twitter Demographics

The data shown below were collected from the profiles of 9 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 13%
Student > Master 7 12%
Researcher 7 12%
Other 7 12%
Student > Ph. D. Student 6 10%
Other 16 27%
Unknown 9 15%
Readers by discipline Count As %
Medicine and Dentistry 24 40%
Nursing and Health Professions 10 17%
Computer Science 4 7%
Engineering 2 3%
Business, Management and Accounting 2 3%
Other 8 13%
Unknown 10 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 2020.
All research outputs
#3,902,373
of 16,629,244 outputs
Outputs from BMC Medical Informatics and Decision Making
#346
of 1,519 outputs
Outputs of similar age
#88,015
of 326,600 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 1 outputs
Altmetric has tracked 16,629,244 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,519 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done well, scoring higher than 77% 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 326,600 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 72% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them