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Bridging the ‘Concept–Product’ gap in new product development: Emerging insights from the application of artificial intelligence in FinTech SMEs

Overview of attention for article published in Technovation, June 2024
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Readers on

mendeley
63 Mendeley
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Title
Bridging the ‘Concept–Product’ gap in new product development: Emerging insights from the application of artificial intelligence in FinTech SMEs
Published in
Technovation, June 2024
DOI 10.1016/j.technovation.2024.103017
Authors

Marija Cubric, Feng Li

Timeline

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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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 18 29%
Student > Ph. D. Student 7 11%
Researcher 6 10%
Lecturer 3 5%
Student > Doctoral Student 3 5%
Other 6 10%
Unknown 20 32%
Readers by discipline Count As %
Unspecified 17 27%
Business, Management and Accounting 15 24%
Economics, Econometrics and Finance 4 6%
Engineering 3 5%
Computer Science 1 2%
Other 3 5%
Unknown 20 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 30 May 2024.
All research outputs
#15,034,115
of 26,047,917 outputs
Outputs from Technovation
#455
of 835 outputs
Outputs of similar age
#52,314
of 150,185 outputs
Outputs of similar age from Technovation
#4
of 7 outputs
Altmetric has tracked 26,047,917 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 835 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 44th percentile – i.e., 44% 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 150,185 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.