Title |
Community discovery using nonnegative matrix factorization
|
---|---|
Published in |
Data Mining and Knowledge Discovery, July 2010
|
DOI | 10.1007/s10618-010-0181-y |
Authors |
Fei Wang, Tao Li, Xin Wang, Shenghuo Zhu, Chris Ding |
Mendeley readers
The data shown below were compiled from readership statistics for 212 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 1% |
China | 2 | <1% |
Italy | 1 | <1% |
Brazil | 1 | <1% |
France | 1 | <1% |
Slovenia | 1 | <1% |
Netherlands | 1 | <1% |
Russia | 1 | <1% |
India | 1 | <1% |
Other | 0 | 0% |
Unknown | 200 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 69 | 33% |
Student > Master | 34 | 16% |
Student > Bachelor | 18 | 8% |
Researcher | 17 | 8% |
Professor > Associate Professor | 15 | 7% |
Other | 24 | 11% |
Unknown | 35 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 99 | 47% |
Engineering | 26 | 12% |
Mathematics | 16 | 8% |
Physics and Astronomy | 9 | 4% |
Business, Management and Accounting | 3 | 1% |
Other | 18 | 8% |
Unknown | 41 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 15 August 2017.
All research outputs
#7,917,073
of 23,854,458 outputs
Outputs from Data Mining and Knowledge Discovery
#156
of 546 outputs
Outputs of similar age
#34,983
of 96,646 outputs
Outputs of similar age from Data Mining and Knowledge Discovery
#3
of 6 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 546 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 56% 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 96,646 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.