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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Multi-Net: A Scalable Multiplex Network Embedding Framework
|
---|---|
Chapter number | 10 |
Book title |
Complex Networks and Their Applications VII
|
Published in |
arXiv, December 2018
|
DOI | 10.1007/978-3-030-05414-4_10 |
Book ISBNs |
978-3-03-005413-7, 978-3-03-005414-4
|
Authors |
Arunkumar Bagavathi, Siddharth Krishnan, Bagavathi, Arunkumar, Krishnan, Siddharth |
X Demographics
The data shown below were collected from the profiles of 9 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 | 1 | 11% |
United Kingdom | 1 | 11% |
Unknown | 7 | 78% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 5 | 56% |
Members of the public | 4 | 44% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 27 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 22% |
Student > Master | 5 | 19% |
Student > Doctoral Student | 3 | 11% |
Lecturer | 2 | 7% |
Professor | 2 | 7% |
Other | 4 | 15% |
Unknown | 5 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 12 | 44% |
Physics and Astronomy | 2 | 7% |
Medicine and Dentistry | 2 | 7% |
Biochemistry, Genetics and Molecular Biology | 1 | 4% |
Business, Management and Accounting | 1 | 4% |
Other | 3 | 11% |
Unknown | 6 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 12 October 2018.
All research outputs
#7,439,588
of 24,002,307 outputs
Outputs from arXiv
#161,230
of 1,011,770 outputs
Outputs of similar age
#146,787
of 443,824 outputs
Outputs of similar age from arXiv
#4,480
of 25,992 outputs
Altmetric has tracked 24,002,307 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,011,770 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 83% 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 443,824 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 66% of its contemporaries.
We're also able to compare this research output to 25,992 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.