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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
4 X users

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
59 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 19%
Student > Ph. D. Student 8 14%
Researcher 5 8%
Student > Bachelor 4 7%
Student > Doctoral Student 4 7%
Other 12 20%
Unknown 15 25%
Readers by discipline Count As %
Medicine and Dentistry 17 29%
Engineering 6 10%
Business, Management and Accounting 5 8%
Social Sciences 4 7%
Computer Science 2 3%
Other 9 15%
Unknown 16 27%
Attention Score in Context

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 21 November 2022.
All research outputs
#3,222,029
of 25,373,627 outputs
Outputs from Human Resources for Health
#382
of 1,261 outputs
Outputs of similar age
#43,858
of 361,467 outputs
Outputs of similar age from Human Resources for Health
#8
of 14 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 87th 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 69% 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 361,467 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 14 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.