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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Coding Prony’s method in MATLAB and applying it to biomedical signal filtering
|
|---|---|
| Published in |
BMC Bioinformatics, November 2018
|
| DOI | 10.1186/s12859-018-2473-y |
| Pubmed ID | |
| Authors |
A. Fernández Rodríguez, L. de Santiago Rodrigo, E. López Guillén, J. M. Rodríguez Ascariz, J. M. Miguel Jiménez, Luciano Boquete |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 25% |
| Spain | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 80 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 24% |
| Student > Master | 10 | 13% |
| Researcher | 8 | 10% |
| Student > Doctoral Student | 5 | 6% |
| Student > Bachelor | 3 | 4% |
| Other | 12 | 15% |
| Unknown | 23 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 36 | 45% |
| Physics and Astronomy | 5 | 6% |
| Neuroscience | 4 | 5% |
| Mathematics | 2 | 3% |
| Chemistry | 2 | 3% |
| Other | 6 | 8% |
| Unknown | 25 | 31% |
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 19 December 2023.
All research outputs
#6,128,098
of 24,226,848 outputs
Outputs from BMC Bioinformatics
#2,170
of 7,512 outputs
Outputs of similar age
#118,536
of 445,760 outputs
Outputs of similar age from BMC Bioinformatics
#51
of 190 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 7,512 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 70% 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 445,760 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 73% of its contemporaries.
We're also able to compare this research output to 190 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.