The Automated Screening Working Groups is a group of software engineers and biologists passionate about improving scientific manuscripts on a large scale. Our members have created tools that check for common problems in scientific manuscripts, including information needed to improve transparency and reproducibility. We have combined our tools into a single pipeline, called ScreenIT. We're currently using our tools to screen COVID preprints.

About Followers

Latest preprint reviews

  1. An Analysis of Self-reported Longcovid Symptoms on Twitter

    1. Shubh Mohan Singh
    2. Chaitanya Reddy

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. GNS561 Exhibits Potent Antiviral Activity against SARS-CoV-2 through Autophagy Inhibition

    1. Eloïne Bestion
    2. Keivan Zandi
    3. Sandrine Belouzard
    4. Julien Andreani
    5. Hubert Lepidi
    6. Marie Novello
    7. Clara Rouquairol
    8. Jean-Pierre Baudoin
    9. Madani Rachid
    10. Bernard La Scola
    11. Jean-Louis Mege
    12. Jean Dubuisson
    13. Raymond F. Schinazi
    14. Soraya Mezouar
    15. Philippe Halfon

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Reduction in time delay of isolation in COVID-19 cases in South Korea

    1. Sukhyun Ryu
    2. Cheolsun Jang
    3. Baekjin Kim

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. A stochastic agent-based model of the SARS-CoV-2 epidemic in France

    1. Nicolas Hoertel
    2. Martin Blachier
    3. Carlos Blanco
    4. Mark Olfson
    5. Marc Massetti
    6. Marina Sánchez Rico
    7. Frédéric Limosin
    8. Henri Leleu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. China’s effective control and other countries’ uncharted challenge against COVID-19: an epidemiological and modelling study

    1. Lingling Zheng
    2. Qin Kang
    3. Weiyao Liao
    4. Xiujuan Chen
    5. Shuai Huang
    6. Dong Liu
    7. Huimin Xia
    8. Jinling Tang
    9. Huiying Liang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Ultrasensitive Measurement of Both SARS-CoV-2 RNA and Antibodies from Saliva

    1. Dmitry Ter-Ovanesyan
    2. Tal Gilboa
    3. Roey Lazarovits
    4. Alexandra Rosenthal
    5. Xu Yu
    6. Jonathan Z. Li
    7. George M. Church
    8. David R. Walt

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. The Association Between Alpha-1 Adrenergic Receptor Antagonists and In-Hospital Mortality From COVID-19

    1. Liam Rose
    2. Laura Graham
    3. Allison Koenecke
    4. Michael Powell
    5. Ruoxuan Xiong
    6. Zhu Shen
    7. Brett Mench
    8. Kenneth W. Kinzler
    9. Chetan Bettegowda
    10. Bert Vogelstein
    11. Susan Athey
    12. Joshua T. Vogelstein
    13. Maximilian F. Konig
    14. Todd H. Wagner

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. The COVID-19 Infodemic: The complex task of elevating signal and eliminating noise

    1. Tejas Desai
    2. Arvind Conjeevaram

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Population simulations of COVID-19 outbreaks provide tools for risk assessment and continuity planning

    1. Bo Peng
    2. Rowland W Pettit
    3. Christopher I Amos

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  10. Potential Factors for Prediction of Disease Severity of COVID-19 Patients

    1. Huizheng Zhang
    2. Xiaoying Wang
    3. Zongqiang Fu
    4. Ming Luo
    5. Zhen Zhang
    6. Ke Zhang
    7. Ying He
    8. Dongyong Wan
    9. Liwen Zhang
    10. Jing Wang
    11. Xiaofeng Yan
    12. Mei Han
    13. Yaokai Chen

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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