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Projects: pypi: GetOldTweets3

https://packages.ecosyste.ms/registries/pypi.org/packages/GetOldTweets3

Get old tweets from Twitter
10 versions
Latest release: over 6 years ago
398 downloads last month

Enhanced Analysis
Educational Contributors: jordan.taylor@gatech.edu
Repository Activity:
Repository Owner: Dmitry Mottl (user)
Ph.D in Physics
README Analysis:
Science Score: 35/100
Starting Score: 100 points
Bonuses:
  • +20 Educational commit emails
    1 contributors with educational email addresses
Penalties:
  • -10 PyPI ecosystem
    General-purpose ecosystem
  • -15 No science keywords
    No scientific terms found in keywords/classifiers
  • -10 No science terms in description
    No scientific terms found in description
  • -50 Non-science indicators
    2 non-scientific terms found
Possibly Science (35)

Papers Mentioning GetOldTweets3 5

10.1371/journal.pone.0250817
#MaskOn! #MaskOff! Digital polarization of mask-wearing in the United States during COVID-19
Cited by: 48
Author(s): Jun Lang, Wesley W. Erickson, Zhuo Jing–Schmidt
Software Mentions: 13
Published: about 5 years ago
10.3389/frai.2021.644554
Using Twitter Data for the Study of Language Change in Low-Resource Languages. A Panel Study of Relative Pronouns in Frisian
Cited by: 0
Author(s): Jelske Dijkstra, Wilbert Heeringa, Lysbeth Jongbloed-Faber, H. Van de Velde
Software Mentions: 6
Published: over 5 years ago
10.1038/s41598-021-83075-6
Optimal control of the COVID-19 pandemic: controlled sanitary deconfinement in Portugal
Cited by: 53
Author(s): Cristiana J. Silva, Carla Cruz, Delfim F. M. Torres, Alberto P. Muñuzuri, Alejandro Carballosa, Iván Area, Juan J. Nieto, Rui Fonseca-Pinto, Rui Passadouro, Estevão Soares dos Santos, Wilson Abreu, J. Mira
Software Mentions: 1
Published: over 5 years ago
10.3390/ijerph18020393
Feeling the Void: Lack of Support for Isolation and Sleep Difficulties in Pregnant Women during the COVID-19 Pandemic Revealed by Twitter Data Analysis
Cited by: 22
Author(s): Joey Talbot, Valérie Charron, Anne T. M. Konkle
Software Mentions: 1
Published: over 5 years ago
10.2196/22624
Topics, Trends, and Sentiments of Tweets About the COVID-19 Pandemic: Temporal Infoveillance Study
Cited by: 152
Author(s): C. Ranganathan, Vikalp Mehta, Tejali Valkunde, Evangelos Moustakas
Software Mentions: 1
Published: over 5 years ago