| Title |
Combining Superdirective Beamforming and Frequency-Domain Blind Source Separation for Highly Reverberant Signals
|
|---|---|
| Published in |
EURASIP Journal on Audio, Speech, and Music Processing, June 2010
|
| DOI | 10.1155/2010/797962 |
| Authors |
Lin Wang, Heping Ding, Fuliang Yin |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Greece | 1 | 4% |
| Germany | 1 | 4% |
| Unknown | 21 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 35% |
| Student > Ph. D. Student | 4 | 17% |
| Lecturer | 1 | 4% |
| Student > Doctoral Student | 1 | 4% |
| Professor | 1 | 4% |
| Other | 5 | 22% |
| Unknown | 3 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 12 | 52% |
| Computer Science | 4 | 17% |
| Agricultural and Biological Sciences | 1 | 4% |
| Materials Science | 1 | 4% |
| Physics and Astronomy | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 4 | 17% |
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 28 November 2023.
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
#38,144
of 104,524 outputs
Outputs of similar age from EURASIP Journal on Audio, Speech, and Music Processing
#1
of 3 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 104,524 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% 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. This one has scored higher than all of them