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Quantifying complexity in translational research: an integrated approach

Overview of attention for article published in International Journal of Health Care Quality Assurance, October 2014
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Article details
Title
Quantifying complexity in translational research: an integrated approach
Published in
International Journal of Health Care Quality Assurance, October 2014
DOI 10.1108/ijhcqa-01-2014-0002
Pubmed ID
Authors
Abstract

The purpose of this paper is to quantify complexity in translational research. The impact of major operational steps and technical requirements is calculated with respect to their ability to accelerate moving new discoveries into clinical practice.

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 9 20%
Student > Ph. D. Student 5 11%
Student > Doctoral Student 4 9%
Student > Bachelor 4 9%
Professor 3 7%
Other 7 16%
Unknown 12 27%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 6 14%
Business, Management and Accounting 4 9%
Engineering 4 9%
Philosophy 2 5%
Nursing and Health Professions 2 5%
Other 10 23%
Unknown 16 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 January 2015.
All research outputs
#29,940,980
of 33,148,666 outputs
Outputs from International Journal of Health Care Quality Assurance
#366
of 403 outputs
Outputs of similar age
#253,177
of 290,476 outputs
Outputs of similar age from International Journal of Health Care Quality Assurance
#4
of 5 outputs
Altmetric has tracked 33,148,666 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 403 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 290,476 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.