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 |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 23% |
Spain | 2 | 15% |
United Kingdom | 2 | 15% |
Italy | 1 | 8% |
Canada | 1 | 8% |
Unknown | 4 | 31% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 6 | 46% |
Members of the public | 5 | 38% |
Science communicators (journalists, bloggers, editors) | 2 | 15% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 28 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 11% |
Student > Master | 3 | 11% |
Student > Doctoral Student | 2 | 7% |
Student > Postgraduate | 2 | 7% |
Lecturer | 2 | 7% |
Other | 5 | 18% |
Unknown | 11 | 39% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 21% |
Physics and Astronomy | 2 | 7% |
Arts and Humanities | 1 | 4% |
Business, Management and Accounting | 1 | 4% |
Biochemistry, Genetics and Molecular Biology | 1 | 4% |
Other | 2 | 7% |
Unknown | 15 | 54% |
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
#4,804,243
of 23,577,654 outputs
Outputs from Applied Network Science
#134
of 514 outputs
Outputs of similar age
#90,113
of 331,745 outputs
Outputs of similar age from Applied Network Science
#10
of 28 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 514 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has gotten more attention than average, scoring higher than 73% 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 331,745 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 72% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.