| Title |
RNN language model with word clustering and class-based output layer
|
|---|---|
| Published in |
EURASIP Journal on Audio, Speech, and Music Processing, July 2013
|
| DOI | 10.1186/1687-4722-2013-22 |
| Authors |
Yongzhe Shi, Wei-Qiang Zhang, Jia Liu, Michael T Johnson |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 2 | 5% |
| China | 1 | 3% |
| Unknown | 35 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 24% |
| Researcher | 8 | 21% |
| Student > Ph. D. Student | 4 | 11% |
| Professor | 3 | 8% |
| Other | 3 | 8% |
| Other | 6 | 16% |
| Unknown | 5 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 21 | 55% |
| Engineering | 4 | 11% |
| Physics and Astronomy | 2 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Linguistics | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 6 | 16% |
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 31 May 2017.
All research outputs
#8,534,528
of 25,373,627 outputs
Outputs from EURASIP Journal on Audio, Speech, and Music Processing
#34
of 131 outputs
Outputs of similar age
#71,025
of 209,335 outputs
Outputs of similar age from EURASIP Journal on Audio, Speech, and Music Processing
#1
of 4 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 131 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 48th percentile – i.e., 48% 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 209,335 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 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