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. Base Reproduction Number of COVID-19: Statistic Analysis

    1. Hongjun Zhu
    2. Jiangping Huang
    3. Xin Liu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Modelling for prediction of the spread and severity of COVID-19 and its association with socioeconomic factors and virus types

    1. Rakesh Tuli
    2. Shreshth Tuli
    3. Shikhar Tuli
    4. Ruchi Verma

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. A rapid systematic review of measures to protect older people in long-term care facilities from COVID-19

    1. Kate Frazer
    2. Lachlan Mitchell
    3. Diarmuid Stokes
    4. Ella Lacey
    5. Eibhlin Crowley
    6. Cecily C Kelleher

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Different selection dynamics of S and RdRp between SARS-CoV-2 genomes with and without the dominant mutations

    1. Necla Koçhan
    2. Doğa Eskier
    3. Aslı Suner
    4. Gökhan Karakülah
    5. Yavuz Oktay

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Comparison of infection control strategies to reduce COVID-19 outbreaks in homeless shelters in the United States: a simulation study

    1. Lloyd A. C. Chapman
    2. Margot Kushel
    3. Sarah N. Cox
    4. Ashley Scarborough
    5. Caroline Cawley
    6. Trang Q. Nguyen
    7. Isabel Rodriguez-Barraquer
    8. Bryan Greenhouse
    9. Elizabeth Imbert
    10. Nathan C. Lo

    Reviewed by Rapid Reviews Infectious Diseases, ScreenIT

    4 evaluationsAppears in 2 listsLatest version Latest activity

  6. SARS-CoV-2 Inactivation Potential of Metal Organic Framework Induced Photocatalysis

    1. Jason Ornstein
    2. Ray O.K. Ozdemir
    3. Anne Boehme
    4. Farid Nouar
    5. Christian Serre
    6. Daniel N. Ackerman
    7. Vicki L. Herrera
    8. Joshua L. Santarpia

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Inhibitors of L-Type Calcium Channels Show Therapeutic Potential for Treating SARS-CoV-2 Infections by Preventing Virus Entry and Spread

    1. Marco R. Straus
    2. Miya K. Bidon
    3. Tiffany Tang
    4. Javier A. Jaimes
    5. Gary R. Whittaker
    6. Susan Daniel

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Metabolic and Lipidomic Markers Differentiate COVID-19 From Non-Hospitalized and Other Intensive Care Patients

    1. Franziska Schmelter
    2. Bandik Föh
    3. Alvaro Mallagaray
    4. Johann Rahmöller
    5. Marc Ehlers
    6. Selina Lehrian
    7. Vera von Kopylow
    8. Inga Künsting
    9. Anne Sophie Lixenfeld
    10. Emily Martin
    11. Mohab Ragab
    12. Roza Meyer-Saraei
    13. Fabian Kreutzmann
    14. Ingo Eitel
    15. Stefan Taube
    16. Nadja Käding
    17. Eckard Jantzen
    18. Tobias Graf
    19. Christian Sina
    20. Ulrich L. Günther

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. SARS-CoV-2 transmission from the healthcare setting into the home: a prospective longitudinal cohort study

    1. Simon Craxford
    2. Jessica Nightingale
    3. Adeel Ikram
    4. Ben Arthur Marson
    5. Anthony Kelly
    6. Alan Norrish
    7. Amrita Vijay
    8. Stuart Astbury
    9. Lola Cusin
    10. Waheed Ashraf
    11. Jayne Newham
    12. Guruprasad Aithal
    13. Patrick Tighe
    14. Jonathan Ball
    15. Alexander W Tarr
    16. Richard A Urbanowicz
    17. Ana Valdes
    18. Benjamin Ollivere

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Insights into population behavior during the COVID-19 pandemic from cell phone mobility data and manifold learning

    1. Roman Levin
    2. Dennis L. Chao
    3. Edward A. Wenger
    4. Joshua L. Proctor

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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