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Forecasting future needs and optimal allocation of medical residency positions: the Emilia-Romagna Region case study

Overview of attention for article published in Human Resources for Health, January 2015
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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 (87th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
1 news outlet
twitter
3 tweeters

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
48 Mendeley
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Title
Forecasting future needs and optimal allocation of medical residency positions: the Emilia-Romagna Region case study
Published in
Human Resources for Health, January 2015
DOI 10.1186/1478-4491-13-7
Pubmed ID
Authors

Francesca Senese, Paolo Tubertini, Angelina Mazzocchetti, Andrea Lodi, Corrado Ruozi, Roberto Grilli

Abstract

Objectives: Italian regional health authorities annually negotiate the number of residency grants to be financed by the National government and the number and mix of supplementary grants to be funded by the regional budget. This study provides regional decision-makers with a requirement model to forecast the future demand of specialists at the regional level.

Twitter Demographics

The data shown below were collected from the profiles of 3 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 21%
Student > Ph. D. Student 6 13%
Researcher 5 10%
Student > Bachelor 4 8%
Student > Doctoral Student 4 8%
Other 12 25%
Unknown 7 15%
Readers by discipline Count As %
Medicine and Dentistry 15 31%
Engineering 6 13%
Business, Management and Accounting 4 8%
Social Sciences 4 8%
Computer Science 2 4%
Other 9 19%
Unknown 8 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 04 February 2015.
All research outputs
#448,107
of 5,036,026 outputs
Outputs from Human Resources for Health
#66
of 396 outputs
Outputs of similar age
#21,949
of 179,353 outputs
Outputs of similar age from Human Resources for Health
#9
of 16 outputs
Altmetric has tracked 5,036,026 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 396 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. 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 179,353 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 87% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.