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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Spyke Viewer: a flexible and extensible platform for electrophysiological data analysis
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, January 2013
|
| DOI | 10.3389/fninf.2013.00026 |
| Pubmed ID | |
| Authors |
Robert Pröpper, Klaus Obermayer |
| Abstract |
Spyke Viewer is an open source application designed to help researchers analyze data from electrophysiological recordings or neural simulations. It provides a graphical data browser and supports finding and selecting relevant subsets of the data. Users can interact with the selected data using an integrated Python console or plugins. Spyke Viewer includes plugins for several common visualizations and allows users to easily extend the program by writing their own plugins. New plugins are automatically integrated with the graphical interface. Additional plugins can be downloaded and shared on a dedicated website. |
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 | 2 | 40% |
| France | 1 | 20% |
| Ireland | 1 | 20% |
| United Kingdom | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Iran, Islamic Republic of | 1 | 2% |
| United States | 1 | 2% |
| Germany | 1 | 2% |
| Australia | 1 | 2% |
| Unknown | 44 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 38% |
| Researcher | 11 | 23% |
| Professor > Associate Professor | 3 | 6% |
| Professor | 3 | 6% |
| Student > Master | 3 | 6% |
| Other | 8 | 17% |
| Unknown | 2 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 27% |
| Neuroscience | 8 | 17% |
| Medicine and Dentistry | 6 | 13% |
| Engineering | 5 | 10% |
| Physics and Astronomy | 3 | 6% |
| Other | 7 | 15% |
| Unknown | 6 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 27 November 2013.
All research outputs
#7,378,343
of 22,731,677 outputs
Outputs from Frontiers in Neuroinformatics
#356
of 743 outputs
Outputs of similar age
#83,685
of 280,769 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#18
of 36 outputs
Altmetric has tracked 22,731,677 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 743 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one has gotten more attention than average, scoring higher than 51% 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 280,769 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 70% of its contemporaries.
We're also able to compare this research output to 36 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 50% of its contemporaries.