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. Dynamic innate immune response determines susceptibility to SARS-CoV-2 infection and early replication kinetics

    1. Nagarjuna R. Cheemarla
    2. Timothy A. Watkins
    3. Valia T. Mihaylova
    4. Bao Wang
    5. Dejian Zhao
    6. Guilin Wang
    7. Marie L. Landry
    8. Ellen F. Foxman

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. The unintended consequences of inconsistent pandemic control policies

    1. Benjamin M. Althouse
    2. Brendan Wallace
    3. Brendan Case
    4. Samuel V. Scarpino
    5. Andrew M. Berdahl
    6. Easton R. White
    7. Laurent Hébert-Dufresne

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Delayed Stroke Treatment during COVID-19 Pandemic in China

    1. Shiyuan Gu
    2. Zhengze Dai
    3. Huachao Shen
    4. Yongjie Bai
    5. Xiaohao Zhang
    6. Xinfeng Liu
    7. Gelin Xu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Epigenetic Evolution of ACE2 and IL-6 Genes: Non-Canonical Interferon-Stimulated Genes Correlate to COVID-19 Susceptibility in Vertebrates

    1. Eric R. Sang
    2. Yun Tian
    3. Laura C. Miller
    4. Yongming Sang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Features of creatine-kinase in COVID-19 patients with different ages, clinical types and outcomes: A cohort study

    1. Shanshan Wan
    2. Gaojing Qu
    3. Hui Yu
    4. Haoming Zhu
    5. Guoxin Huang
    6. Lei Chen
    7. Meiling Zhang
    8. Jiangtao Liu
    9. Bin Pei

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Structure-Altering Mutations of the SARS-CoV-2 Frame Shifting RNA Element

    1. T. Schlick
    2. Q. Zhu
    3. S. Jain
    4. S. Yan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Beware of asymptomatic transmission: Study on 2019-nCoV prevention and control measures based on extended SEIR model

    1. Peng Shao
    2. Yingji Shan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Personalized prescription of ACEI/ARBs for hypertensive COVID-19 patients

    1. Dimitris Bertsimas
    2. Alison Borenstein
    3. Luca Mingardi
    4. Omid Nohadani
    5. Agni Orfanoudaki
    6. Bartolomeo Stellato
    7. Holly Wiberg
    8. Pankaj Sarin
    9. Dirk J. Varelmann
    10. Vicente Estrada
    11. Carlos Macaya
    12. Iván J. Núñez Gil

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Estimating the reduction in SARS-CoV-2 viral load by common face masks with a simple leak model

    1. Steffen Freitag
    2. Steven G. Howell
    3. Kevin T. C. Jim

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Use of Convalescent Plasma Therapy among Hospitalized Coronavirus Disease 2019 (COVID-19) Patients: A Single-Center Experience

    1. Flordeluna Z. Mesina
    2. Claudette G. Mangahas
    3. Ellen M. Gatchalian
    4. Mary Sheila Ariola-Ramos
    5. Rosalio P. Torres

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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