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. Occupation and risk of severe COVID-19: prospective cohort study of 120 075 UK Biobank participants

    1. Miriam Mutambudzi
    2. Claire Niedzwiedz
    3. Ewan Beaton Macdonald
    4. Alastair Leyland
    5. Frances Mair
    6. Jana Anderson
    7. Carlos Celis-Morales
    8. John Cleland
    9. John Forbes
    10. Jason Gill
    11. Claire Hastie
    12. Frederick Ho
    13. Bhautesh Jani
    14. Daniel F Mackay
    15. Barbara Nicholl
    16. Catherine O'Donnell
    17. Naveed Sattar
    18. Paul Welsh
    19. Jill P Pell
    20. Srinivasa Vittal Katikireddi
    21. Evangelia Demou

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. SARS-CoV-2 receptor ACE2 is expressed in human conjunctival tissue, especially in diseased conjunctival tissue

    1. Shengjie Li
    2. Danhui Li
    3. Jianchen Fang
    4. Qiang Liu
    5. Wenjun Cao
    6. Xinghuai Sun
    7. Gezhi Xu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Repurposing existing medications for coronavirus disease 2019: protocol for a rapid and living systematic review

    1. Benjamin P. Geisler
    2. Lara Zahabi
    3. Adam Edward Lang
    4. Naomi Eastwood
    5. Elaine Tennant
    6. Ljiljana Lukic
    7. Elad Sharon
    8. Hai-Hua Chuang
    9. Chang-Berm Kang
    10. Knakita Clayton-Johnson
    11. Ahmed Aljaberi
    12. Haining Yu
    13. Chinh Bui
    14. Tuan Le Mau
    15. Wen-Cheng Li
    16. Debbie Teodorescu
    17. Ludwig Christian Hinske
    18. Dennis L. Sun
    19. Farrin A. Manian
    20. Adam G. Dunn

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Systematic review and meta‐analysis of effectiveness of treatment options against SARS‐CoV‐2 infection

    1. Viveksandeep Thoguluva Chandrasekar
    2. Bhanuprasad Venkatesalu
    3. Harsh K. Patel
    4. Marco Spadaccini
    5. Jacob Manteuffel
    6. Mayur Ramesh

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Demographic and clinical characteristics of severe Covid-19 infections: a cross-sectional study from Mashhad University of Medical Sciences, Iran

    1. Ladan Goshayeshi
    2. Mina Akbari Rad
    3. Robert Bergquist
    4. Abolghasem Allahyari
    5. Kamila Hashemzadeh
    6. MUMS Covid-19 Research Team
    7. Nasrin Milani
    8. Mahdi Gholian-Aval
    9. Fariba Rezaeitalab
    10. Mohammad Jafar Sadeghi Quchani
    11. Zahra Nahbandani
    12. Mandana Khodashahi
    13. Zahra Javid
    14. Mahnaz Mozdourian
    15. Mohammad Ali Yaghoubi
    16. Zahra Mozaheb
    17. Mohsen Seddigh-Shamsi
    18. Mohammad Moeini Nodeh
    19. Shima Nabavi
    20. Hooman Mosannen Mozaffari
    21. Mohammadreza Farzanehfar
    22. Zahra Lotfi
    23. Alireza Shariati
    24. Shekoofe Bonakdaran
    25. Zahra Rezaieyazdi
    26. Zahra Mirfeizi
    27. Maryam Miri
    28. Reza Bassiri
    29. Sajjad Ataei Azimi
    30. Benyamin Hoseini

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. A rapid review and meta-analysis of the asymptomatic proportion of PCR-confirmed SARS-CoV-2 infections in community settings

    1. Sarah Beale
    2. Andrew Hayward
    3. Laura Shallcross
    4. Robert W. Aldridge
    5. Ellen Fragaszy

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Predictors of severe or lethal COVID-19, including Angiotensin Converting Enzyme inhibitors and Angiotensin II Receptor Blockers, in a sample of infected Italian citizens

    1. Francesca Bravi
    2. Maria Elena Flacco
    3. Tiziano Carradori
    4. Carlo Alberto Volta
    5. Giuseppe Cosenza
    6. Aldo De Togni
    7. Cecilia Acuti Martellucci
    8. Giustino Parruti
    9. Lorenzo Mantovani
    10. Lamberto Manzoli

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Risk Factors for Intensive Care Unit Admission and In-hospital Mortality Among Hospitalized Adults Identified through the US Coronavirus Disease 2019 (COVID-19)-Associated Hospitalization Surveillance Network (COVID-NET)

    1. Lindsay Kim
    2. Shikha Garg
    3. Alissa O’Halloran
    4. Michael Whitaker
    5. Huong Pham
    6. Evan J Anderson
    7. Isaac Armistead
    8. Nancy M Bennett
    9. Laurie Billing
    10. Kathryn Como-Sabetti
    11. Mary Hill
    12. Sue Kim
    13. Maya L Monroe
    14. Alison Muse
    15. Arthur L Reingold
    16. William Schaffner
    17. Melissa Sutton
    18. H Keipp Talbot
    19. Salina M Torres
    20. Kimberly Yousey-Hindes
    21. Rachel Holstein
    22. Charisse Cummings
    23. Lynnette Brammer
    24. Aron J Hall
    25. Alicia M Fry
    26. Gayle E Langley

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Identifying Explosive Epidemiological Cases with Unsupervised Machine Learning

    1. Serge Dolgikh

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Plasma Concentrations and Safety of Lopinavir/Ritonavir in COVID-19 Patients

    1. Laurent Chouchana
    2. Sana Boujaafar
    3. Ines Gana
    4. Laure-Hélène Preta
    5. Lucile Regard
    6. Paul Legendre
    7. Celia Azoulay
    8. Etienne Canouï
    9. Jeremie Zerbit
    10. Nicolas Carlier
    11. Benjamin Terrier
    12. Solen Kernéis
    13. Rui Batista
    14. Jean-Marc Treluyer
    15. Yi Zheng
    16. Sihem Benaboud

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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