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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
NOVA: A Novel and Efficient Framework for Finding Subgraph Isomorphism Mappings in Large Graphs
|
---|---|
Chapter number | 13 |
Book title |
Database Systems for Advanced Applications
|
Published in |
Lecture notes in computer science, April 2010
|
DOI | 10.1007/978-3-642-12026-8_13 |
Book ISBNs |
978-3-64-212025-1, 978-3-64-212026-8
|
Authors |
Zhu, Ke, Zhang, Ying, Lin, Xuemin, Zhu, Gaoping, Wang, Wei, Ke Zhu, Ying Zhang, Xuemin Lin, Gaoping Zhu, Wei Wang |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
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 % |
---|---|---|
Turkey | 1 | 4% |
China | 1 | 4% |
Canada | 1 | 4% |
Unknown | 25 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 11 | 39% |
Professor > Associate Professor | 3 | 11% |
Student > Master | 3 | 11% |
Student > Bachelor | 2 | 7% |
Other | 1 | 4% |
Other | 0 | 0% |
Unknown | 8 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 16 | 57% |
Mathematics | 1 | 4% |
Chemistry | 1 | 4% |
Materials Science | 1 | 4% |
Engineering | 1 | 4% |
Other | 0 | 0% |
Unknown | 8 | 29% |
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 25 August 2016.
All research outputs
#15,381,416
of 22,883,326 outputs
Outputs from Lecture notes in computer science
#4,648
of 8,128 outputs
Outputs of similar age
#78,026
of 95,758 outputs
Outputs of similar age from Lecture notes in computer science
#9
of 18 outputs
Altmetric has tracked 22,883,326 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,128 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 27th percentile – i.e., 27% 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 95,758 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.