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The impact of licensed-knowledge attributes on the innovation performance of licensee firms: evidence from the Chinese electronic industry

Overview of attention for article published in The Journal of Technology Transfer, May 2012
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
79 Mendeley
Title
The impact of licensed-knowledge attributes on the innovation performance of licensee firms: evidence from the Chinese electronic industry
Published in
The Journal of Technology Transfer, May 2012
DOI 10.1007/s10961-012-9260-0
Authors

Yuandi Wang, Zhao Zhou, Jason Li-Ying

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
Netherlands 1 1%
Indonesia 1 1%
Sweden 1 1%
India 1 1%
Unknown 74 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 23%
Student > Master 14 18%
Other 8 10%
Student > Bachelor 7 9%
Student > Doctoral Student 6 8%
Other 16 20%
Unknown 10 13%
Readers by discipline Count As %
Business, Management and Accounting 32 41%
Engineering 11 14%
Economics, Econometrics and Finance 6 8%
Social Sciences 5 6%
Agricultural and Biological Sciences 2 3%
Other 9 11%
Unknown 14 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 05 September 2013.
All research outputs
#13,361,046
of 22,665,794 outputs
Outputs from The Journal of Technology Transfer
#333
of 584 outputs
Outputs of similar age
#90,584
of 163,854 outputs
Outputs of similar age from The Journal of Technology Transfer
#4
of 7 outputs
Altmetric has tracked 22,665,794 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 584 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 40th percentile – i.e., 40% 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 163,854 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
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.