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Construction of an open innovation network and its mechanism design for manufacturing enterprises: a resource-based perspective

Overview of attention for article published in Frontiers in Business Research in China, June 2017
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1 X user

Citations

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Readers on

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89 Mendeley
Title
Construction of an open innovation network and its mechanism design for manufacturing enterprises: a resource-based perspective
Published in
Frontiers in Business Research in China, June 2017
DOI 10.1186/s11782-017-0006-6
Authors

Haijun Wang, Sardar M. N. Islam

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 89 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 11%
Student > Doctoral Student 9 10%
Student > Bachelor 9 10%
Researcher 7 8%
Student > Ph. D. Student 7 8%
Other 15 17%
Unknown 32 36%
Readers by discipline Count As %
Business, Management and Accounting 35 39%
Engineering 11 12%
Social Sciences 5 6%
Economics, Econometrics and Finance 2 2%
Medicine and Dentistry 1 1%
Other 1 1%
Unknown 34 38%
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 16 January 2018.
All research outputs
#17,604,528
of 25,806,080 outputs
Outputs from Frontiers in Business Research in China
#18
of 28 outputs
Outputs of similar age
#213,060
of 332,775 outputs
Outputs of similar age from Frontiers in Business Research in China
#2
of 2 outputs
Altmetric has tracked 25,806,080 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 28 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one scored the same or higher as 10 of them.
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 332,775 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.