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. Survey data of COVID-19-related Knowledge, Risk Perceptions and Precautionary Behavior among Nigerians

    1. Peter O. Olapegba
    2. Steven K. Iorfa
    3. Samson O. Kolawole
    4. Rotimi Oguntayo
    5. Joshua C. Gandi
    6. Iboro F.A. Ottu
    7. Olusola Ayandele

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Hospitalization time and outcome in patients with Coronavirus Disease 2019 (COVID-19): analysis data from China

    1. Songshan Chai
    2. Dongdong Xiao
    3. Qikai Cheng
    4. Shengzhi Huang
    5. Yihao Wang
    6. Jiajia Qian
    7. Jiajing Wang
    8. Junjun Li
    9. Peng Fu
    10. Qiangping Wang
    11. Jing Rao
    12. Hongyang Zhao
    13. Fangcheng Zhang
    14. Nanxiang Xiong

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. The FDA- approved gold drug Auranofin inhibits novel coronavirus (SARS-COV-2) replication and attenuates inflammation in human cells

    1. Hussin A. Rothan
    2. Shannon Stone
    3. Janhavi Natekar
    4. Pratima Kumari
    5. Komal Arora
    6. Mukesh Kumar

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. The global population of SARS-CoV-2 is composed of six major subtypes

    1. Ivair José Morais Júnior
    2. Richard Costa Polveiro
    3. Gabriel Medeiros Souza
    4. Daniel Inserra Bortolin
    5. Flávio Tetsuo Sassaki
    6. Alison Talis Martins Lima

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. COVID‐19 is an emergent disease of aging

    1. Didac Santesmasses
    2. José Pedro Castro
    3. Aleksandr A. Zenin
    4. Anastasia V. Shindyapina
    5. Maxim V. Gerashchenko
    6. Bohan Zhang
    7. Csaba Kerepesi
    8. Sun Hee Yim
    9. Peter O. Fedichev
    10. Vadim N. Gladyshev

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Challenges in control of COVID-19: short doubling time and long delay to effect of interventions

    1. Lorenzo Pellis
    2. Francesca Scarabel
    3. Helena B. Stage
    4. Christopher E. Overton
    5. Lauren H. K. Chappell
    6. Elizabeth Fearon
    7. Emma Bennett
    8. Katrina A. Lythgoe
    9. Thomas A. House
    10. Ian Hall
    11. University of Manchester COVID-19 Modelling Group

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Stability of the COVID-19 virus under wet, dry and acidic conditions

    1. Zhi-ping Sun
    2. Xia Cai
    3. Chen-jian Gu
    4. Rong Zhang
    5. Wen-dong Han
    6. Yun Qian
    7. Yu-yan Wang
    8. Wei Xu
    9. Yang Wu
    10. Xunjia Cheng
    11. Zheng-hong Yuan
    12. You-hua Xie
    13. Di Qu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Time course of anosmia and dysgeusia in patients with mild SARS-CoV-2 infection

    1. Ruth Levinson
    2. Meital Elbaz
    3. Ronen Ben-Ami
    4. David Shasha
    5. Tal Levinson
    6. Guy Choshen
    7. Ksenia Petrov
    8. Avi Gadoth
    9. Yael Paran

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Neutrophil extracellular traps and thrombosis in COVID-19

    1. Yu Zuo
    2. Melanie Zuo
    3. Srilakshmi Yalavarthi
    4. Kelsey Gockman
    5. Jacqueline A. Madison
    6. Hui Shi
    7. Jason S. Knight
    8. Yogendra Kanthi

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  10. Bayesian Adaptive Clinical Trials for Anti-Infective Therapeutics During Epidemic Outbreaks

    1. Andrew W. Lo
    2. Qingyang Xu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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