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. First Quarter Chronicle of COVID-19: An Attempt to Measure Governments’ Responses

    1. Şule Şahin
    2. María del Carmen Boado-Penas
    3. Corina Constantinescu
    4. Julia Eisenberg
    5. Kira Henshaw
    6. Maoqi Hu
    7. Jing Wang
    8. Wei Zhu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Prediction of Coronavirus Disease (covid-19) Evolution in USA with the Model Based on the Eyring’s Rate Process Theory and Free Volume Concept

    1. Tian Hao

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  3. Efficacy of remdesivir for hospitalized COVID-19 patients with end stage renal disease

    1. Vijairam Selvaraj
    2. Amos Lal
    3. Arkadiy Finn
    4. Joshua Ray Tanzer
    5. Muhammad Baig
    6. Atin Jindal
    7. Kwame Dapaah-Afriyie
    8. George Bayliss

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Clinical Symptoms Among Ambulatory Patients Tested for SARS-CoV-2

    1. Jessie R Chung
    2. Sara S Kim
    3. Michael L Jackson
    4. Lisa A Jackson
    5. Edward A Belongia
    6. Jennifer P King
    7. Richard K Zimmerman
    8. Mary Patricia Nowalk
    9. Emily T Martin
    10. Arnold S Monto
    11. Manjusha Gaglani
    12. Michael E Smith
    13. Manish Patel
    14. Brendan Flannery

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Country differences in transmissibility, age distribution and case-fatality of SARS-CoV-2: a global ecological analysis

    1. Caroline Favas
    2. Prudence Jarrett
    3. Ruwan Ratnayake
    4. Oliver J Watson
    5. Francesco Checchi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Analysis of SIR-Network Model on COVID-19 with respect to its impact on West Bengal in India

    1. Debnarayan Khatua
    2. Debashree Guha
    3. Samarjit Kar
    4. Anupam De
    5. Eshan Samanta

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Measuring the impact of COVID-19 vaccine misinformation on vaccination intent in the UK and USA

    1. Sahil Loomba
    2. Alexandre de Figueiredo
    3. Simon J. Piatek
    4. Kristen de Graaf
    5. Heidi J. Larson

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Transfer transcriptomic signatures for infectious diseases

    1. Julia di Iulio
    2. Istvan Bartha
    3. Roberto Spreafico
    4. Herbert W. Virgin
    5. Amalio Telenti

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. COVID-19 effective reproduction number determination: an application, and a review of issues and influential factors

    1. Luis Alfredo Bautista Balbás
    2. Mario Gil Conesa
    3. Blanca Bautista Balbás
    4. Gil Rodríguez Caravaca

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Epidemiology, clinical characteristics, and virologic features of COVID-19 patients in Kazakhstan: A nation-wide retrospective cohort study

    1. Sergey Yegorov
    2. Maiya Goremykina
    3. Raifa Ivanova
    4. Sara V. Good
    5. Dmitriy Babenko
    6. Alexandr Shevtsov
    7. Kelly S. MacDonald
    8. Yersin Zhunussov

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
Newer Page 1713 of 2361 Older