| Title |
Text Classification from Labeled and Unlabeled Documents using EM
|
|---|---|
| Published in |
Machine Learning, May 2000
|
| DOI | 10.1023/a:1007692713085 |
| Authors |
Kamal Nigam, Andrew Kachites Mccallum, Sebastian Thrun, Tom Mitchell |
Mendeley readers
The data shown below were compiled from readership statistics for 1,258 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 35 | 3% |
| United Kingdom | 13 | 1% |
| Germany | 9 | <1% |
| China | 8 | <1% |
| Australia | 6 | <1% |
| India | 6 | <1% |
| Japan | 5 | <1% |
| Spain | 4 | <1% |
| Canada | 4 | <1% |
| Other | 42 | 3% |
| Unknown | 1126 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 333 | 26% |
| Student > Master | 226 | 18% |
| Researcher | 170 | 14% |
| Student > Bachelor | 93 | 7% |
| Student > Doctoral Student | 60 | 5% |
| Other | 232 | 18% |
| Unknown | 144 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 759 | 60% |
| Engineering | 102 | 8% |
| Mathematics | 40 | 3% |
| Business, Management and Accounting | 26 | 2% |
| Social Sciences | 23 | 2% |
| Other | 127 | 10% |
| Unknown | 181 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 25 May 2020.
All research outputs
#1,651,467
of 25,373,627 outputs
Outputs from Machine Learning
#33
of 1,225 outputs
Outputs of similar age
#1,128
of 40,860 outputs
Outputs of similar age from Machine Learning
#1
of 3 outputs
Altmetric has tracked 25,373,627 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 1,225 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 97% 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 40,860 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 3 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