Coder Social home page Coder Social logo

q_authors's Introduction

q_authors

A partial replication of Sinatra, R., D. Wang, P. Deville, C. Song, and A.-L. Barabasi. “Quantifying the Evolution of Individual Scientific Impact.” Science 354, no. 6312 (November 4, 2016), doi:10.1126/science.aaf5239.

URL: http://science.sciencemag.org/content/354/6312/aaf5239.

Supplementary materials: http://science.sciencemag.org/content/suppl/2016/11/02/354.6312.aaf5239.DC1?_ga=1.178615011.657974594.1453296229.

Contents

  • Replication.ipynb The code to replicate some of the figures in Sinatra et al. 2016. Shows figures 1E, 2B, 2A.
  • Simulations.ipynb The notebook to simulate part of the results. Show the lack of difference in plot 2B if the impact of articles comes from a power law or a uniform distribution.
  • LICENCE MIT
  • README.md this file
  • SupplementaryDataSinatra2016/
    • APS_author2DOI.dat list of author name disambiguation and related articles, from the Supporting materials
    • readme.txt from the Supporting materials
    • sinatra_Science_id_studied.dat list of author ids used in the article, from a private communication
  • Dataset/
    • author_index_all_month.p
      • A dictionary with all the authors in the APS dataset (origins to 2010) which have at least 1 article with a 10y lifetime, thus published before 2000 taking 2010 as the last useful year. Every article is considered, provided it has a date and has a lifetime of at least 10y. The list of authors comes from the supplementary materials of the article (file APS_author2DOI.dat). This dataset was created using the APS dataset, available here: http://journals.aps.org/datasets.
      • Every author has the following infos (the index is equal to the field id below): {'articles': [{'c_ten': 8, 'date': '1949-09-15', 'id': '10.1103-PhysRev.76.854', 'year': 1949}, {'c_ten': 6, 'date': '1953-10-15', 'id': '10.1103-PhysRev.92.441', 'year': 1953}], 'c_ten_star': 8, 'first_year': 1949, 'id': 0, 'in_core': False, 'last_year': 1953, 'surface': 'p. bassi'}
        • articles is a list of articles, each containing the number of citations received after 10 years (c_ten, or impact), the date and year of publication, the identifier.
        • c_ten_star is the impact of the most impactful article for the given author
        • first_year and last_year of activity of the author
        • id its ID from APS_author2DOI.dat, first column
        • surface the surface form of the author, as found in the APS dataset
        • in_core if the author meets the requirements to be considered in the dataset of the article. These requirements are: at least 10 publications, an activity span of at least 20 years, no more than 5 years between publications. Despite several attempts, the filtering of the original APS dataset to the authors analysed in Sinatra et al. was not possible, hence the authors kindly supplied the list ot be used as a filter (sinatra_Science_id_studied.dat)

Dependencies

Python 3.5

Numpy, Scipy, Pickle

q_authors's People

Contributors

giovanni1085 avatar

Watchers

James Cloos avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.