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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
Bonsai: an event-based framework for processing and controlling data streams
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, April 2015
|
| DOI | 10.3389/fninf.2015.00007 |
| Pubmed ID | |
| Authors |
Gonçalo Lopes, Niccolò Bonacchi, João Frazão, Joana P. Neto, Bassam V. Atallah, Sofia Soares, LuÃs Moreira, Sara Matias, Pavel M. Itskov, PatrÃcia A. Correia, Roberto E. Medina, Lorenza Calcaterra, Elena Dreosti, Joseph J. Paton, Adam R. Kampff |
| Abstract |
The design of modern scientific experiments requires the control and monitoring of many different data streams. However, the serial execution of programming instructions in a computer makes it a challenge to develop software that can deal with the asynchronous, parallel nature of scientific data. Here we present Bonsai, a modular, high-performance, open-source visual programming framework for the acquisition and online processing of data streams. We describe Bonsai's core principles and architecture and demonstrate how it allows for the rapid and flexible prototyping of integrated experimental designs in neuroscience. We specifically highlight some applications that require the combination of many different hardware and software components, including video tracking of behavior, electrophysiology and closed-loop control of stimulation. |
Twitter Demographics
The data shown below were collected from the profiles of 25 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 16% |
| Portugal | 4 | 16% |
| Japan | 2 | 8% |
| United Kingdom | 2 | 8% |
| Switzerland | 2 | 8% |
| Germany | 1 | 4% |
| Italy | 1 | 4% |
| Libya | 1 | 4% |
| Unknown | 8 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 18 | 72% |
| Scientists | 5 | 20% |
| Science communicators (journalists, bloggers, editors) | 2 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 431 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 7 | 2% |
| United States | 4 | <1% |
| United Kingdom | 3 | <1% |
| Brazil | 1 | <1% |
| France | 1 | <1% |
| Norway | 1 | <1% |
| India | 1 | <1% |
| Unknown | 413 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 94 | 22% |
| Researcher | 84 | 19% |
| Student > Bachelor | 61 | 14% |
| Student > Master | 57 | 13% |
| Student > Doctoral Student | 19 | 4% |
| Other | 57 | 13% |
| Unknown | 59 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 163 | 38% |
| Agricultural and Biological Sciences | 108 | 25% |
| Engineering | 19 | 4% |
| Medicine and Dentistry | 17 | 4% |
| Psychology | 13 | 3% |
| Other | 47 | 11% |
| Unknown | 64 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 38. 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 15 August 2023.
All research outputs
#960,297
of 23,577,654 outputs
Outputs from Frontiers in Neuroinformatics
#21
of 774 outputs
Outputs of similar age
#12,862
of 266,330 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#3
of 12 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 774 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has done particularly well, scoring higher than 97% 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 266,330 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.