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Community evolution in patent networks: technological change and network dynamics

Overview of attention for article published in Applied Network Science, August 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)

Mentioned by

twitter
14 tweeters

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
17 Mendeley
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Title
Community evolution in patent networks: technological change and network dynamics
Published in
Applied Network Science, August 2018
DOI 10.1007/s41109-018-0090-3
Pubmed ID
Authors

Yuan Gao, Zhen Zhu, Raja Kali, Massimo Riccaboni

Twitter Demographics

The data shown below were collected from the profiles of 14 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 18%
Student > Master 2 12%
Student > Doctoral Student 2 12%
Professor 1 6%
Lecturer 1 6%
Other 2 12%
Unknown 6 35%
Readers by discipline Count As %
Computer Science 4 24%
Physics and Astronomy 2 12%
Business, Management and Accounting 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Arts and Humanities 1 6%
Other 0 0%
Unknown 8 47%

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 27 September 2018.
All research outputs
#2,212,618
of 13,565,336 outputs
Outputs from Applied Network Science
#66
of 171 outputs
Outputs of similar age
#66,556
of 265,601 outputs
Outputs of similar age from Applied Network Science
#1
of 1 outputs
Altmetric has tracked 13,565,336 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 171 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has gotten more attention than average, scoring higher than 61% 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 265,601 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 73% of its contemporaries.
We're also able to compare this research output to 1 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