| Title |
Factorial Hidden Markov Models
|
|---|---|
| Published in |
Machine Learning, November 1997
|
| DOI | 10.1023/a:1007425814087 |
| Authors |
Zoubin Ghahramani, Michael I. Jordan |
Mendeley readers
The data shown below were compiled from readership statistics for 274 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 2% |
| United Kingdom | 4 | 1% |
| France | 2 | <1% |
| Japan | 2 | <1% |
| Australia | 1 | <1% |
| Brazil | 1 | <1% |
| Israel | 1 | <1% |
| Indonesia | 1 | <1% |
| Canada | 1 | <1% |
| Other | 3 | 1% |
| Unknown | 252 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 91 | 33% |
| Researcher | 48 | 18% |
| Student > Master | 40 | 15% |
| Student > Doctoral Student | 20 | 7% |
| Student > Bachelor | 15 | 5% |
| Other | 32 | 12% |
| Unknown | 28 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 94 | 34% |
| Engineering | 70 | 26% |
| Mathematics | 11 | 4% |
| Agricultural and Biological Sciences | 10 | 4% |
| Psychology | 10 | 4% |
| Other | 41 | 15% |
| Unknown | 38 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 03 December 2013.
All research outputs
#5,446,629
of 25,373,627 outputs
Outputs from Machine Learning
#162
of 1,225 outputs
Outputs of similar age
#4,313
of 29,630 outputs
Outputs of similar age from Machine Learning
#3
of 5 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% 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 well, scoring higher than 83% 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 29,630 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% 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 2 of them.