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. Dexamethasone in Hospitalized Patients with Covid-19

    1. The RECOVERY Collaborative Group

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  2. Association between median household income, state Medicaid expansion status, and COVID-19 outcomes across US counties

    1. Tsikata Apenyo
    2. Antonio Elias Vera-Urbina
    3. Khansa Ahmad
    4. Tracey H. Taveira
    5. Wen-Chih Wu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Evaluating the Long-term Efficacy of Coronavirus Disease 2019 (COVID-19) Vaccines

    1. Dan-Yu Lin
    2. Donglin Zeng
    3. Peter B Gilbert

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Estimating Prevalence and time Course of Sars-Cov-2 Based on new Hospital Admissions and PCR Tests: Relevance to Vaccination Program Tactical Planning

    1. Jose E. Gonzalez

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Statistics associated with the lethality of COVID-19 by age group and gender in Mexico

    1. Carlos Hernandez-Suarez
    2. Efren Murillo-Zamora

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Formulation of a Composite Nasal Spray Enabling Enhanced Surface Coverage and Prophylaxis of SARS‐COV‐2

    1. Richard J. A. Moakes
    2. Scott P. Davies
    3. Zania Stamataki
    4. Liam M. Grover

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Opposing activities of IFITM proteins in SARS‐CoV‐2 infection

    1. Guoli Shi
    2. Adam D Kenney
    3. Elena Kudryashova
    4. Ashley Zani
    5. Lizhi Zhang
    6. Kin Kui Lai
    7. Luanne Hall‐Stoodley
    8. Richard T Robinson
    9. Dmitri S Kudryashov
    10. Alex A Compton
    11. Jacob S Yount

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Viral shedding dynamics reveals sputum as a reliable and cost-saving specimen for SARS-CoV-2 diagnosis within the first 10 days since symptom onset: A prospective cohort study

    1. Jorge Levican
    2. Leonardo I. Almonacid
    3. Gonzalo Valenzuela
    4. Tamara García-Salum
    5. Luis Rojas
    6. Eileen Serrano
    7. Catalina Pardo-Roa
    8. Erick Salinas
    9. María José Avendaño
    10. Fabiola Perazzo
    11. Luis Antonio Díaz
    12. Sebastián Valderrama
    13. Marcos Ortega
    14. Adriana Toro
    15. Viviana Montecinos
    16. Arnoldo Riquelme
    17. Rafael A. Medina

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Modelling the spreading of the SARS-CoV-2 in presence of the lockdown and quarantine measures by a kinetic-type reactions approach

    1. Giorgio Sonnino
    2. Philippe Peeters
    3. Pasquale Nardone

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. The discovery of gene mutations making SARS-CoV-2 well adapted for humans: host-genome similarity analysis of 2594 genomes from China, the USA and Europe

    1. Weitao Sun

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
Newer Page 1953 of 2361 Older