| Title |
Artifact reduction in electrogastrogram based on empirical mode decomposition method
|
|---|---|
| Published in |
Medical & Biological Engineering & Computing, January 2000
|
| DOI | 10.1007/bf02344686 |
| Pubmed ID | |
| Authors |
H. Liang, Z. Lin, R. W. McCallum |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 5% |
| Spain | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 38 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 19% |
| Student > Doctoral Student | 6 | 14% |
| Student > Master | 6 | 14% |
| Other | 5 | 12% |
| Student > Ph. D. Student | 5 | 12% |
| Other | 8 | 19% |
| Unknown | 4 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 17 | 40% |
| Medicine and Dentistry | 5 | 12% |
| Agricultural and Biological Sciences | 3 | 7% |
| Neuroscience | 3 | 7% |
| Computer Science | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 7 | 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 06 August 2019.
All research outputs
#8,534,976
of 25,373,627 outputs
Outputs from Medical & Biological Engineering & Computing
#547
of 2,053 outputs
Outputs of similar age
#24,912
of 109,781 outputs
Outputs of similar age from Medical & Biological Engineering & Computing
#1
of 6 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 2,053 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 22nd percentile – i.e., 22% 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 109,781 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 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