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PyMICE: 0.2.5

Authors: Dzik, Jakub Mateusz; Łęski, Szymon; Puścian, Alicja;
Abstract

PyMICE is a Python® library for mice behavioural data analysis. The library can be used for loading and analysing of data obtained from IntelliCage™ system in an intuitive way in Python programming language. The library provides user with an object oriented application programming interface (API) and a data abstraction layer. It also comes with auxiliary tools supporting development of analysis workflows, like data validators and a tool for workflow configuration. We ask that PyMICE resource identifier (RRID:nlx_158570) is provided in any published research making use of PyMICE. For more details please see the project website: https://neuroinflab.wordpress.com/research/pymice/ . Auhors of the library Jakub Dzik Szymon Łęski Author of the tutorial data Alicja Puścian

Acknowledgement: JD and SŁ supported by Symfonia NCN grant: UMO-2013/08/W/NZ4/00691. AP supported by a grant from Switzerland through the Swiss Contribution to the enlarged European Union (PSPB-210/2010 to Ewelina Knapska and Hans-Peter Lipp).

Keywords

python, mice, analysis, library, intellicage, behaviour

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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