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A dynamic, multi-professional, needs-based simulation model to inform human resources for health planning

Overview of attention for article published in Human Resources for Health, June 2019
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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 (84th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

policy
1 policy source
twitter
13 X users

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
83 Mendeley
Title
A dynamic, multi-professional, needs-based simulation model to inform human resources for health planning
Published in
Human Resources for Health, June 2019
DOI 10.1186/s12960-019-0376-2
Pubmed ID
Authors

Adrian MacKenzie, Gail Tomblin Murphy, Rick Audas

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 83 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 12%
Student > Ph. D. Student 10 12%
Researcher 8 10%
Student > Bachelor 5 6%
Student > Doctoral Student 4 5%
Other 16 19%
Unknown 30 36%
Readers by discipline Count As %
Medicine and Dentistry 13 16%
Business, Management and Accounting 9 11%
Nursing and Health Professions 8 10%
Social Sciences 5 6%
Unspecified 4 5%
Other 10 12%
Unknown 34 41%
Attention Score in Context

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 15 February 2023.
All research outputs
#2,796,701
of 25,385,509 outputs
Outputs from Human Resources for Health
#333
of 1,261 outputs
Outputs of similar age
#58,201
of 368,316 outputs
Outputs of similar age from Human Resources for Health
#12
of 31 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,261 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.3. This one has gotten more attention than average, scoring higher than 73% 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 368,316 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 84% of its contemporaries.
We're also able to compare this research output to 31 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 61% of its contemporaries.