| Title |
Scalable feature selection, classification and signature generation for organizing large text databases into hierarchical topic taxonomies
|
|---|---|
| Published in |
The VLDB Journal, August 1998
|
| DOI | 10.1007/s007780050061 |
| Authors |
Soumen Chakrabarti, Byron Dom, Rakesh Agrawal, Prabhakar Raghavan |
Mendeley readers
The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 6% |
| India | 3 | 3% |
| Canada | 2 | 2% |
| United Kingdom | 2 | 2% |
| Brazil | 2 | 2% |
| Malaysia | 1 | <1% |
| Ireland | 1 | <1% |
| Switzerland | 1 | <1% |
| Germany | 1 | <1% |
| Other | 4 | 3% |
| Unknown | 91 | 79% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 34 | 30% |
| Student > Master | 19 | 17% |
| Researcher | 17 | 15% |
| Professor | 7 | 6% |
| Professor > Associate Professor | 7 | 6% |
| Other | 17 | 15% |
| Unknown | 14 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 71 | 62% |
| Engineering | 8 | 7% |
| Social Sciences | 5 | 4% |
| Psychology | 4 | 3% |
| Business, Management and Accounting | 2 | 2% |
| Other | 8 | 7% |
| Unknown | 17 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 16 June 2020.
All research outputs
#1,579,318
of 23,842,189 outputs
Outputs from The VLDB Journal
#5
of 366 outputs
Outputs of similar age
#721
of 32,715 outputs
Outputs of similar age from The VLDB Journal
#1
of 5 outputs
Altmetric has tracked 23,842,189 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 366 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 98% 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 32,715 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them