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. Overcoming COVID-19 vaccine preferential bias in Europe: Is the end of the pandemic still foreseeable?

    1. Frank Adusei-Mensah
    2. Ivy Eyiah Inkum

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Investigating phenotypes of pulmonary COVID-19 recovery: A longitudinal observational prospective multicenter trial

    1. Thomas Sonnweber
    2. Piotr Tymoszuk
    3. Sabina Sahanic
    4. Anna Boehm
    5. Alex Pizzini
    6. Anna Luger
    7. Christoph Schwabl
    8. Manfred Nairz
    9. Philipp Grubwieser
    10. Katharina Kurz
    11. Sabine Koppelstätter
    12. Magdalena Aichner
    13. Bernhard Puchner
    14. Alexander Egger
    15. Gregor Hoermann
    16. Ewald Wöll
    17. Günter Weiss
    18. Gerlig Widmann
    19. Ivan Tancevski
    20. Judith Löffler-Ragg

    • Curated by eLife

      Evaluation Summary:

      This manuscript which links early markers of inflammation with residual abnormalities on chest CT following SARS-CoV-2 infection. Surprisingly, early surveyed symptoms do not predict long term radiologic outcomes (6 months after infection) while inflammatory markers have stronger predictive value. Residual symptoms are common at the 6 month time point.

      (This preprint has been reviewed by eLife. We include the public reviews from the reviewers here; the authors also receive private feedback with suggested changes to the manuscript. Reviewer #1 and Reviewer #2 agreed to share their name with the authors.)

    Reviewed by eLife, ScreenIT

    5 evaluationsAppears in 2 listsLatest version Latest activity

  3. Clinical Profiles at the Time of Diagnosis of SARS-CoV-2 Infection in Costa Rica During the Pre-vaccination Period Using a Machine Learning Approach

    1. Jose Arturo Molina-Mora
    2. Alejandra González
    3. Sergio Jiménez-Morgan
    4. Estela Cordero-Laurent
    5. Hebleen Brenes
    6. Claudio Soto-Garita
    7. Jorge Sequeira-Soto
    8. Francisco Duarte-Martínez

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Trends in COVID-19 Vaccination Intent, Determinants and Reasons for Vaccine Hesitancy: Results from Repeated Cross-Sectional Surveys in the Adult General Population of Greece during November 2020–June 2021

    1. Vana Sypsa
    2. Sotirios Roussos
    3. Vasiliki Engeli
    4. Dimitrios Paraskevis
    5. Sotirios Tsiodras
    6. Angelos Hatzakis

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Into the thirteenth Month: A Case Study on the Outbreak Analytics and Modeling the spread of SARS-CoV-2 Infection in Pune City, India

    1. Joy Monteiro
    2. Bhalchandra Pujari
    3. Sarika Maitra Bhattacharrya
    4. Anu Raghunathan
    5. Ashwini Keskar
    6. Arsh Shaikh
    7. Prasad Bogam
    8. Shweta Kadu
    9. Nikita Raut
    10. Devendra Vavale
    11. Rupa Mishra
    12. Ajit Kembhavi
    13. L.S. Shashidhara
    14. Vidya Mave

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Association between preference and e-learning readiness among the Bangladeshi female nursing students in the COVID-19 pandemic: a cross-sectional study

    1. Humayun Kabir
    2. Tajrin Tahrin Tonmon
    3. Md. Kamrul Hasan
    4. Lila Biswas
    5. Md. Abul Hasnat Chowdhury
    6. Muhammad Didarul Islam
    7. Mamunur Rahman
    8. Dipak Kumar Mitra

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. COVID-19 pandemic dynamics in India, the SARS-CoV-2 Delta variant and implications for vaccination

    1. Wan Yang
    2. Jeffrey Shaman

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. A behavioural modelling approach to assess the impact of COVID-19 vaccine hesitancy

    1. Bruno Buonomo
    2. Rossella Della Marca
    3. Alberto d’Onofrio
    4. Maria Groppi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Pyrimidine biosynthesis inhibitors synergize with nucleoside analogs to block SARS-CoV-2 infection

    1. David C. Schultz
    2. Robert M. Johnson
    3. Kasirajan Ayyanathan
    4. Jesse Miller
    5. Kanupriya Whig
    6. Brinda Kamalia
    7. Mark Dittmar
    8. Stuart Weston
    9. Holly L. Hammond
    10. Carly Dillen
    11. Lauren Castellana
    12. Jae Seung Lee
    13. Minghua Li
    14. Emily Lee
    15. Samuel Constant
    16. Marc Ferrer
    17. Christoph A. Thaiss
    18. Matthew B. Frieman
    19. Sara Cherry

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Temporal trends in primary care-recorded self-harm during and beyond the first year of the COVID-19 pandemic: Time series analysis of electronic healthcare records for 2.8 million patients in the Greater Manchester Care Record

    1. Sarah Steeg
    2. Lana Bojanić
    3. George Tilston
    4. Richard Williams
    5. David A. Jenkins
    6. Matthew J. Carr
    7. Niels Peek
    8. Darren M. Ashcroft
    9. Nav Kapur
    10. Jennifer Voorhees
    11. Roger T. Webb

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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