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I-determinants for a successful PhD or postdoctoral outcome

Overview of attention for article published in Clinical Epidemiology, August 2016
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

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64 Mendeley
Title
I-determinants for a successful PhD or postdoctoral outcome
Published in
Clinical Epidemiology, August 2016
DOI 10.2147/clep.s110527
Pubmed ID
Authors

Henrik Toft Sørensen

Abstract

Many resources are invested in research training, but very little literature exists on predictors for a successful PhD and postdoctoral training outcome. A PhD program has two overall objectives: to extend knowledge about a hopefully important health topic and to provide extensive training to improve the PhD student's skills through learning research methods and collaboration. A substantial number of PhD students may run into some kind of problem in the course of their PhD program. In this article, some determinants all starting with an "I" and indicative of a good PhD outcome are reported. The successful PhD student can be described as having an Interest in the PhD program, an Incentive for the program, and an Idea of what he or she wants to investigate, showing Initiative, and having high personal Integrity and good Interpersonal relationships. When these so-called I-determinants are present, the likelihood of success in a PhD program is high. More evidence is available for selection of candidates for postdoctoral appointments since it is known that the postdoctoral candidate has completed a PhD program, published papers in peer-reviewed journals, and received awarded grants. However, other characteristics determine a successful transition of the postdoctoral candidate into a research leader. These determinants are Identity, Independence and Image, Implementation ability in terms of being able to implement decisions and projects, working with Innovative and Important topics, having In-depth knowledge of the research topic, being Interactive and Integrated with the scientific community, and Internationally oriented. In conclusion, regardless of the framework of research, the personal characteristics of a researcher play a very important role in the quality of research. Application of some of the principles mentioned in this article might allow decision to reach a more evidence-based way to recruit PhD students and postdoctorals.

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 2%
Bangladesh 1 2%
Unknown 62 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 30%
Researcher 11 17%
Student > Master 7 11%
Other 4 6%
Student > Doctoral Student 2 3%
Other 11 17%
Unknown 10 16%
Readers by discipline Count As %
Medicine and Dentistry 11 17%
Biochemistry, Genetics and Molecular Biology 7 11%
Nursing and Health Professions 7 11%
Psychology 7 11%
Agricultural and Biological Sciences 5 8%
Other 17 27%
Unknown 10 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 25 July 2017.
All research outputs
#2,164,235
of 25,582,611 outputs
Outputs from Clinical Epidemiology
#90
of 780 outputs
Outputs of similar age
#39,157
of 381,656 outputs
Outputs of similar age from Clinical Epidemiology
#2
of 12 outputs
Altmetric has tracked 25,582,611 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 780 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one has done well, scoring higher than 88% 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 381,656 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 89% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.