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- Literature Scanner\n=========================\n\n|ProjectStatus| |Version| |BuildStatus| |Coverage| |License| |PythonVersions| |Publication|\n\n.. |ProjectStatus| image:: https://www.repostatus.org/badges/latest/active.svg\n   :target: https://www.repostatus.org/#active\n   :alt: project status\n\n.. |Version| image:: https://img.shields.io/pypi/v/lisc.svg\n   :target: https://pypi.org/project/lisc/\n   :alt: version\n\n.. |BuildStatus| image:: https://github.com/lisc-tools/lisc/actions/workflows/build.yml/badge.svg\n   :target: https://github.com/lisc-tools/lisc/actions/workflows/build.yml\n   :alt: build status\n\n.. |Coverage| image:: https://codecov.io/gh/lisc-tools/lisc/branch/main/graph/badge.svg\n   :target: https://codecov.io/gh/lisc-tools/lisc\n   :alt: coverage\n\n.. |License| image:: https://img.shields.io/pypi/l/lisc.svg\n   :target: https://opensource.org/license/apache-2-0\n   :alt: license\n\n.. |PythonVersions| image:: https://img.shields.io/pypi/pyversions/lisc.svg\n   :target: https://pypi.org/project/lisc/\n   :alt: python versions\n\n.. |Publication| image:: https://joss.theoj.org/papers/10.21105/joss.01674/status.svg\n   :target: https://doi.org/10.21105/joss.01674\n   :alt: publication\n\nLISC is a package for collecting and analyzing scientific literature.\n\nOverview\n--------\n\nLISC is a Python module for collection and analyzing the scientific literature. To do so,\nLISC wraps and combines existing APIs, allowing users to collect and analyze scientific articles,\nallowing for automated meta-analyses.\n\nA curated list of some projects enabled by LISC is available on the\n`projects \u003chttps://github.com/lisc-tools/Projects\u003e`_ page.\n\nSupported APIs \u0026 Collection Approaches\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nSupported APIs and data collection approaches include:\n\n- The `EUtils \u003chttps://www.ncbi.nlm.nih.gov/books/NBK25497/\u003e`_ API, which provides access to literature data,\n  including the `Pubmed \u003chttps://pubmed.ncbi.nlm.nih.gov/about/\u003e`_ database, from which counts, co-occurrences,\n  text, and meta-data from scientific articles can be collected.\n- The `OpenCitations \u003chttps://opencitations.net\u003e`_ API, which provides access to citation data, from which\n  citation and reference information can be collected.\n\nAnalysis \u0026 Other Functionality\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nIn addition to connecting to external APIs, LISC also provides:\n\n- A database structure, and save and load utilities for storing collected data\n- Custom data objects for managing and preprocessing collected data\n- Functions and utilities to analyze collected data\n- Data visualization functions for plotting collected data and analysis outputs\n\nDocumentation\n-------------\n\nDocumentation is available on the\n`documentation site \u003chttps://lisc-tools.github.io/lisc/\u003e`_.\n\nThis documentation includes:\n\n- `Tutorials \u003chttps://lisc-tools.github.io/lisc/auto_tutorials/index.html\u003e`_:\n  with a step-by-step guide through the module and how to use it\n- `Examples \u003chttps://lisc-tools.github.io/lisc/auto_examples/index.html\u003e`_:\n  demonstrating example analyses and use cases, and other functionality\n- `API list \u003chttps://lisc-tools.github.io/lisc/api.html\u003e`_:\n  which lists and describes all the code and functionality available in the module\n- `Reference \u003chttps://lisc-tools.github.io/lisc/reference.html\u003e`_:\n  with information for how to reference and report on using the module\n\nFor a curated list of projects that use LISC, see the\n`projects \u003chttps://github.com/lisc-tools/Projects\u003e`_ page.\n\nDependencies\n------------\n\nLISC is written in Python 3, and requires Python \u003e= 3.7 to run.\n\nRequirements:\n\n- `numpy \u003chttps://pypi.org/project/numpy/\u003e`_\n- `requests \u003chttps://pypi.org/project/requests/\u003e`_\n- `lxml \u003chttps://pypi.org/project/lxml/\u003e`_\n- `beautifulsoup4 \u003chttps://pypi.org/project/beautifulsoup4/\u003e`_\n\nOptional dependencies, used for plotting, analyses \u0026 testing:\n\n- `matplotlib \u003chttps://pypi.org/project/matplotlib/\u003e`_\n- `seaborn \u003chttps://pypi.org/project/seaborn/\u003e`_\n- `scipy \u003chttps://pypi.org/project/scipy/\u003e`_\n- `wordcloud \u003chttps://pypi.org/project/wordcloud/\u003e`_\n- `pytest \u003chttps://pypi.org/project/pytest/\u003e`_\n\nInstall\n-------\n\nStable releases of LISC are released on the Github\n`release page \u003chttps://github.com/lisc-tools/lisc/releases\u003e`_, and on\n`PYPI \u003chttps://pypi.org/project/lisc/\u003e`_.\n\nDescriptions of updates and changes across versions are available in the\n`changelog \u003chttps://lisc-tools.github.io/lisc/changelog.html\u003e`_.\n\n**Stable Release Version**\n\nTo install the latest stable release, you can install from pip:\n\n.. code-block:: shell\n\n    $ pip install lisc\n\nLISC can also be installed with conda, from the conda-forge channel:\n\n.. code-block:: shell\n\n    $ conda install -c conda-forge lisc\n\n**Development Version**\n\nTo get the development version (updates that are not yet published to pip), you can clone this repository.\n\n.. code-block:: shell\n\n    $ git clone https://github.com/lisc-tools/lisc\n\nTo install this cloned copy of LISC, move into the directory you just cloned, and run:\n\n.. code-block:: shell\n\n    $ pip install .\n\n**Editable Version**\n\nIf you want to install an editable version, for making contributions, download the development\nversion as above, and run:\n\n.. code-block:: shell\n\n    $ pip install -e .\n\nReference\n---------\n\nIf you use this code in your project, please cite:\n\n.. code-block:: text\n\n    Donoghue, T. (2018)  LISC: A Python Package for Scientific Literature Collection and Analysis.\n    Journal of Open Source Software, 4(41), 1674. DOI: 10.21105/joss.01674\n\nDirect Link: https://doi.org/10.21105/joss.01674\n\nMore information for how to cite this method can be found on the\n`reference page \u003chttps://lisc-tools.github.io/lisc/reference.html\u003e`_.\n\nContribute\n----------\n\nThis project welcomes and encourages contributions from the community!\n\nTo file bug reports and/or ask questions about this project, please use the\n`Github issue tracker \u003chttps://github.com/lisc-tools/lisc/issues\u003e`_.\n\nTo see and get involved in discussions about the module, check out:\n\n- the `issues board \u003chttps://github.com/lisc-tools/lisc/issues\u003e`_\n  for topics relating to code updates, bugs, and fixes\n- the `development page \u003chttps://github.com/lisc-tools/Development\u003e`_\n  for discussion of potential major updates to the module\n\nWhen interacting with this project, please use the\n`contribution guidelines \u003chttps://github.com/lisc-tools/lisc/blob/main/CONTRIBUTING.md\u003e`_\nand follow the\n`code of conduct \u003chttps://github.com/lisc-tools/lisc/blob/main/CODE_OF_CONDUCT.md\u003e`_.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flisc-tools%2Flisc","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flisc-tools%2Flisc","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flisc-tools%2Flisc/lists"}