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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Discovery of Path Nearby Clusters in Spatial Networks
|
|---|---|
| Published in |
IEEE Transactions on Knowledge and Data Engineering, April 2015
|
| DOI | 10.1109/tkde.2014.2382583 |
| Authors |
Shuo Shang, Kai Zheng, Christian S. Jensen, Bin Yang, Panos Kalnis, Guohe Li, Ji-Rong Wen |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
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 % |
|---|---|---|
| Japan | 1 | 4% |
| Germany | 1 | 4% |
| Unknown | 25 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 41% |
| Student > Master | 4 | 15% |
| Other | 3 | 11% |
| Professor | 3 | 11% |
| Professor > Associate Professor | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 2 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 20 | 74% |
| Engineering | 3 | 11% |
| Agricultural and Biological Sciences | 1 | 4% |
| Mathematics | 1 | 4% |
| Unknown | 2 | 7% |
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 11 May 2015.
All research outputs
#17,289,387
of 25,377,790 outputs
Outputs from IEEE Transactions on Knowledge and Data Engineering
#1,437
of 2,365 outputs
Outputs of similar age
#169,153
of 279,303 outputs
Outputs of similar age from IEEE Transactions on Knowledge and Data Engineering
#10
of 12 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,365 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 19th percentile – i.e., 19% 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 279,303 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.