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Relational network of innovation ecosystems generated by digital innovation hubs: a conceptual framework for the interaction processes of DIHs from the perspective of collaboration within and between…

Overview of attention for article published in Journal of Intelligent Manufacturing, March 2024
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
3 X users

Readers on

mendeley
11 Mendeley
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Title
Relational network of innovation ecosystems generated by digital innovation hubs: a conceptual framework for the interaction processes of DIHs from the perspective of collaboration within and between their relationship levels
Published in
Journal of Intelligent Manufacturing, March 2024
DOI 10.1007/s10845-024-02322-5
Authors

Julio C. Serrano-Ruiz, José Ferreira, Ricardo Jardim-Goncalves, Ángel Ortiz

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 27%
Student > Master 2 18%
Student > Ph. D. Student 1 9%
Lecturer > Senior Lecturer 1 9%
Student > Postgraduate 1 9%
Other 1 9%
Unknown 2 18%
Readers by discipline Count As %
Unspecified 3 27%
Arts and Humanities 2 18%
Nursing and Health Professions 1 9%
Business, Management and Accounting 1 9%
Economics, Econometrics and Finance 1 9%
Other 1 9%
Unknown 2 18%
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 06 March 2024.
All research outputs
#14,505,652
of 25,424,630 outputs
Outputs from Journal of Intelligent Manufacturing
#183
of 647 outputs
Outputs of similar age
#57,950
of 164,708 outputs
Outputs of similar age from Journal of Intelligent Manufacturing
#1
of 9 outputs
Altmetric has tracked 25,424,630 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 647 research outputs from this source. They receive a mean Attention Score of 1.5. This one has gotten more attention than average, scoring higher than 71% 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 164,708 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 65% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them