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X Demographics
Mendeley readers
Attention Score in Context
| Title |
pypet: A Python Toolkit for Data Management of Parameter Explorations
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, August 2016
|
| DOI | 10.3389/fninf.2016.00038 |
| Pubmed ID | |
| Authors |
Robert Meyer, Klaus Obermayer |
| Abstract |
pypet (Python parameter exploration toolkit) is a new multi-platform Python toolkit for managing numerical simulations. Sampling the space of model parameters is a key aspect of simulations and numerical experiments. pypet is designed to allow easy and arbitrary sampling of trajectories through a parameter space beyond simple grid searches. pypet collects and stores both simulation parameters and results in a single HDF5 file. This collective storage allows fast and convenient loading of data for further analyses. pypet provides various additional features such as multiprocessing and parallelization of simulations, dynamic loading of data, integration of git version control, and supervision of experiments via the electronic lab notebook Sumatra. pypet supports a rich set of data formats, including native Python types, Numpy and Scipy data, Pandas DataFrames, and BRIAN(2) quantities. Besides these formats, users can easily extend the toolkit to allow customized data types. pypet is a flexible tool suited for both short Python scripts and large scale projects. pypet's various features, especially the tight link between parameters and results, promote reproducible research in computational neuroscience and simulation-based disciplines. |
X Demographics
The data shown below were collected from the profiles of 9 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 Kingdom | 2 | 22% |
| Switzerland | 2 | 22% |
| France | 1 | 11% |
| Denmark | 1 | 11% |
| Netherlands | 1 | 11% |
| Canada | 1 | 11% |
| Italy | 1 | 11% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 56% |
| Members of the public | 4 | 44% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 29% |
| Researcher | 6 | 16% |
| Student > Bachelor | 3 | 8% |
| Lecturer | 2 | 5% |
| Student > Master | 2 | 5% |
| Other | 4 | 11% |
| Unknown | 10 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 13% |
| Neuroscience | 4 | 11% |
| Computer Science | 4 | 11% |
| Engineering | 3 | 8% |
| Physics and Astronomy | 3 | 8% |
| Other | 7 | 18% |
| Unknown | 12 | 32% |
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 11 June 2020.
All research outputs
#5,559,446
of 22,883,326 outputs
Outputs from Frontiers in Neuroinformatics
#265
of 751 outputs
Outputs of similar age
#87,327
of 340,312 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#6
of 18 outputs
Altmetric has tracked 22,883,326 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 751 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 64% 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 340,312 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 74% of its contemporaries.
We're also able to compare this research output to 18 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 66% of its contemporaries.