| Title |
Mining bridging rules between conceptual clusters
|
|---|---|
| Published in |
Applied Intelligence, August 2010
|
| DOI | 10.1007/s10489-010-0247-y |
| Authors |
Shichao Zhang, Feng Chen, Xindong Wu, Chengqi Zhang, Ruili Wang |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 6% |
| Unknown | 15 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 31% |
| Student > Master | 3 | 19% |
| Student > Bachelor | 2 | 13% |
| Student > Doctoral Student | 1 | 6% |
| Professor | 1 | 6% |
| Other | 3 | 19% |
| Unknown | 1 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 56% |
| Engineering | 4 | 25% |
| Unknown | 3 | 19% |
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 17 October 2012.
All research outputs
#20,169,675
of 22,681,577 outputs
Outputs from Applied Intelligence
#902
of 1,610 outputs
Outputs of similar age
#89,675
of 94,369 outputs
Outputs of similar age from Applied Intelligence
#2
of 2 outputs
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So far Altmetric has tracked 1,610 research outputs from this source. They receive a mean Attention Score of 1.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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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.