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Need to Knowledge (NtK) Model: an evidence-based framework for generating technological innovations with socio-economic impacts

Overview of attention for article published in Implementation Science, February 2013
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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 (82nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
10 X users
googleplus
1 Google+ user

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
85 Mendeley
citeulike
1 CiteULike
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Title
Need to Knowledge (NtK) Model: an evidence-based framework for generating technological innovations with socio-economic impacts
Published in
Implementation Science, February 2013
DOI 10.1186/1748-5908-8-21
Pubmed ID
Authors

Jennifer L Flagg, Joseph P Lane, Michelle M Lockett

Abstract

Traditional government policies suggest that upstream investment in scientific research is necessary and sufficient to generate technological innovations. The expected downstream beneficial socio-economic impacts are presumed to occur through non-government market mechanisms. However, there is little quantitative evidence for such a direct and formulaic relationship between public investment at the input end and marketplace benefits at the impact end. Instead, the literature demonstrates that the technological innovation process involves a complex interaction between multiple sectors, methods, and stakeholders.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 4%
Canada 3 4%
United States 1 1%
Brazil 1 1%
Unknown 77 91%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 20%
Student > Ph. D. Student 16 19%
Researcher 13 15%
Student > Doctoral Student 5 6%
Other 5 6%
Other 14 16%
Unknown 15 18%
Readers by discipline Count As %
Engineering 13 15%
Social Sciences 12 14%
Business, Management and Accounting 9 11%
Medicine and Dentistry 9 11%
Computer Science 6 7%
Other 19 22%
Unknown 17 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 12 September 2013.
All research outputs
#4,466,824
of 22,696,971 outputs
Outputs from Implementation Science
#870
of 1,719 outputs
Outputs of similar age
#53,934
of 307,673 outputs
Outputs of similar age from Implementation Science
#20
of 39 outputs
Altmetric has tracked 22,696,971 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,719 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one is in the 49th percentile – i.e., 49% 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 307,673 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 82% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.