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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Influence of Volume Conduction on DTF Estimate and the Problem of Its Mitigation
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, May 2017
|
| DOI | 10.3389/fncom.2017.00036 |
| Pubmed ID | |
| Authors |
Maciej Kaminski, Katarzyna J. Blinowska |
X Demographics
The data shown below were collected from the profiles of 5 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 | 20% |
| United Kingdom | 1 | 20% |
| Switzerland | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 1 | 4% |
| Unknown | 27 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 32% |
| Researcher | 5 | 18% |
| Student > Doctoral Student | 3 | 11% |
| Student > Bachelor | 3 | 11% |
| Professor | 2 | 7% |
| Other | 3 | 11% |
| Unknown | 3 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 14% |
| Engineering | 4 | 14% |
| Neuroscience | 4 | 14% |
| Mathematics | 2 | 7% |
| Psychology | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 10 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 09 October 2017.
All research outputs
#4,187,109
of 22,971,207 outputs
Outputs from Frontiers in Computational Neuroscience
#186
of 1,347 outputs
Outputs of similar age
#73,755
of 310,140 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#3
of 40 outputs
Altmetric has tracked 22,971,207 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,347 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done well, scoring higher than 86% 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 310,140 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.