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. THE INTESTINAL AND ORAL MICROBIOMES ARE ROBUST PREDICTORS OF COVID-19 SEVERITY THE MAIN PREDICTOR OF COVID-19-RELATED FATALITY

    1. Doyle V. Ward
    2. Shakti Bhattarai
    3. Mayra Rojas-Correa
    4. Ayan Purkayastha
    5. Devon Holler
    6. Ming Da Qu
    7. William G. Mitchell
    8. Jason Yang
    9. Samuel Fountain
    10. Abigail Zeamer
    11. Catherine Forconi
    12. Gavin Fujimori
    13. Boaz Odwar
    14. Caitlin Cawley
    15. Beth A. McCormick
    16. Ann Moormann
    17. Mireya Wessolossky
    18. Vanni Bucci
    19. Ana Maldonado-Contreras

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  2. Identification of a unique TCR repertoire, consistent with a superantigen selection process in Children with Multi-system Inflammatory Syndrome

    1. Rebecca A Porritt
    2. Lisa Paschold
    3. Magali Noval Rivas
    4. Mary Hongying Cheng
    5. Lael M Yonker
    6. Harsha Chandnani
    7. Merrick Lopez
    8. Donjete Simnica
    9. Christoph Schultheiß
    10. Chintda Santiskulvong
    11. Jennifer Van Eyk
    12. Alessio Fasano
    13. Ivet Bahar
    14. Mascha Binder
    15. Moshe Arditi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Effect of gamma sterilization on filtering efficiency of various respiratory facemasks

    1. Amit Kumar
    2. D.N. Sangeetha
    3. Ramani Yuvaraj
    4. M. Menaka
    5. V. Subramanian
    6. B. Venkatraman

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Dynamics and Development of the COVID-19 Epidemic in the United States: A Compartmental Model Enhanced With Deep Learning Techniques

    1. Qi Deng

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Rapid processing of SARS-CoV-2 containing specimens for direct RT-PCR

    1. Piotr Chomczynski
    2. Peter W. Chomczynski
    3. Amy Kennedy
    4. Michal Rymaszewski
    5. William W. Wilfinger
    6. Judith A. Heiny
    7. Karol Mackey

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Evaluation of COVID-19 vaccination strategies with a delayed second dose

    1. Seyed M. Moghadas
    2. Thomas N. Vilches
    3. Kevin Zhang
    4. Shokoofeh Nourbakhsh
    5. Pratha Sah
    6. Meagan C. Fitzpatrick
    7. Alison P. Galvani

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Clinical features of coronavirus disease 2019 (COVID-19) in a cohort of patients with disability due to spinal cord injury

    1. Miguel Rodríguez-Cola
    2. Irena Jiménez-Velasco
    3. Francisco Gutiérrez-Henares
    4. Elisa López-Dolado
    5. Claudia Gambarrutta-Malfatti
    6. Eduardo Vargas-Baquero
    7. Ángel Gil-Agudo

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  8. Coronavirus (COVID-19) Outbreak Prediction Using Epidemiological Models of Richards Gompertz Logistic Ratkowsky and SIRD

    1. Ahmad Sedaghat
    2. Seyed Amir Abbas Oloomi
    3. Mahdi Ashtian Malayer
    4. Nima Rezaei
    5. Amir Mosavi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. The properties of hot household hygroscopic materials and their potential use for non-medical facemask decontamination

    1. Marie-Line Andreola
    2. Fréderic Becquart
    3. Wahbi Jomaa
    4. Paul O. Verhoeven
    5. Gérard Baldacchino
    6. Simon Hemour
    7. D-Mask consortium

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Estimating and forecasting the burden and spread of Colombia’s SARS-CoV2 first wave

    1. Jaime Cascante-Vega
    2. Juan Manuel Cordovez
    3. Mauricio Santos-Vega

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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