| Title |
Using Wikipedia knowledge to improve text classification
|
|---|---|
| Published in |
Knowledge and Information Systems, September 2008
|
| DOI | 10.1007/s10115-008-0152-4 |
| Authors |
Pu Wang, Jian Hu, Hua-Jun Zeng, Zheng Chen |
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 % |
|---|---|---|
| Portugal | 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 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 2% |
| Turkey | 1 | 1% |
| France | 1 | 1% |
| Austria | 1 | 1% |
| Germany | 1 | 1% |
| Australia | 1 | 1% |
| India | 1 | 1% |
| United Kingdom | 1 | 1% |
| Korea, Republic of | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 90 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 26% |
| Student > Master | 26 | 26% |
| Researcher | 14 | 14% |
| Student > Bachelor | 8 | 8% |
| Student > Postgraduate | 5 | 5% |
| Other | 9 | 9% |
| Unknown | 12 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 70 | 70% |
| Engineering | 5 | 5% |
| Business, Management and Accounting | 2 | 2% |
| Biochemistry, Genetics and Molecular Biology | 1 | 1% |
| Linguistics | 1 | 1% |
| Other | 4 | 4% |
| Unknown | 17 | 17% |
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 18 July 2012.
All research outputs
#16,067,622
of 23,849,058 outputs
Outputs from Knowledge and Information Systems
#274
of 614 outputs
Outputs of similar age
#75,927
of 89,259 outputs
Outputs of similar age from Knowledge and Information Systems
#3
of 3 outputs
Altmetric has tracked 23,849,058 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 614 research outputs from this source. They receive a mean Attention Score of 2.3. This one is in the 44th percentile – i.e., 44% 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 89,259 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.