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. Angiotensin-Converting Enzyme Inhibitors and Angiotensin Receptor Blockers Withdrawal Is Associated with Higher Mortality in Hospitalized Patients with COVID-19

    1. Emilia Roy-Vallejo
    2. Aquilino Sánchez Purificación
    3. José Torres Peña
    4. Beatriz Sánchez Moreno
    5. Francisco Arnalich
    6. María García Blanco
    7. José López Miranda
    8. Juan Romero-Cabrera
    9. Carmen Herrero Gil
    10. José Bascunana
    11. Manuel Rubio-Rivas
    12. Sara Pintos Otero
    13. Verónica Martínez Sempere
    14. Jesús Ballano Rodríguez-Solís
    15. Ricardo Gil Sánchez
    16. Jairo Luque del Pino
    17. Amara González Noya
    18. María Navas-Alcántara
    19. Begoña Cortés Rodríguez
    20. José Alcalá
    21. Ana Suárez-Lombraña
    22. Jorge Andrés Soler
    23. Ricardo Gómez-Huelgas
    24. José Casas-Rojo
    25. Jesús Millán Núñez-Cortés
    26. on behalf of the SEMI-COVID-19 Network

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. COVID-19-neutralizing antibodies predict disease severity and survival

    1. Wilfredo F. Garcia-Beltran
    2. Evan C. Lam
    3. Michael G. Astudillo
    4. Diane Yang
    5. Tyler E. Miller
    6. Jared Feldman
    7. Blake M. Hauser
    8. Timothy M. Caradonna
    9. Kiera L. Clayton
    10. Adam D. Nitido
    11. Mandakolathur R. Murali
    12. Galit Alter
    13. Richelle C. Charles
    14. Anand Dighe
    15. John A. Branda
    16. Jochen K. Lennerz
    17. Daniel Lingwood
    18. Aaron G. Schmidt
    19. A. John Iafrate
    20. Alejandro B. Balazs

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Comparison of Transmissibility of Coronavirus Between Symptomatic and Asymptomatic Patients: Reanalysis of the Ningbo COVID-19 Data

    1. Guosheng Yin
    2. Huaqing Jin

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Predicting the epidemic trend of COVID-19 in China and across the world using the machine learning approach

    1. Mengyuan Li
    2. Zhilan Zhang
    3. Shanmei Jiang
    4. Qian Liu
    5. Canping Chen
    6. Yue Zhang
    7. Xiaosheng Wang

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  5. Sources of healthcare workers’ COVID‑19 infections and related safety guidelines

    1. Lotta-Maria Oksanen
    2. Enni Sanmark
    3. Sampo Oksanen
    4. Veli-Jukka Anttila
    5. Jussi Paterno
    6. Maija Lappalainen
    7. Lasse Lehtonen
    8. Ahmed Geneid

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. 24 People, one test: Boosting test efficiency using pooled serum antibody testing for SARS-CoV-2

    1. Stefan Nessler
    2. Jonas Franz
    3. Franziska van der Meer
    4. Konstantina Kolotourou
    5. Vivek Venkataramani
    6. Chalid Hasan
    7. Beatrix Pollok-Kopp
    8. Andreas E. Zautner
    9. Christine Stadelmann
    10. Michael Weig
    11. Stefan Pöhlmann
    12. Markus Hoffmann
    13. Joachim Riggert

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. The genetic variant analyses of SARS-CoV-2 strains; circulating in Bangladesh

    1. Abu Sayeed Mohmmad Mahmud
    2. Tarannum Taznin
    3. Md. Murshed Hasan Sarkar
    4. Mohammad Samir Uzzaman
    5. Eshrar Osman
    6. Md. Ahasan Habib
    7. Shahina Akter
    8. Tanjina Akhter Banu
    9. Barna Goswami
    10. Iffat Jahan
    11. Md. Saddam Hossain
    12. Md. Salim Khan

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  8. Epidemiology of sleep disorders during COVID-19 pandemic: A systematic scoping review

    1. Samia Tasnim
    2. Mariya Rahman
    3. Priyanka Pawar
    4. Xinli Chi
    5. Qian Yu
    6. Liye Zou
    7. Abida Sultana
    8. E. Lisako J. McKyer
    9. Ping Ma
    10. Md Mahbub Hossain

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. The German Corona Consensus Dataset (GECCO): A standardized dataset for COVID-19 research in university medicine and beyond

    1. Julian Sass
    2. Alexander Bartschke
    3. Moritz Lehne
    4. Andrea Essenwanger
    5. Eugenia Rinaldi
    6. Stefanie Rudolph
    7. Kai U. Heitmann
    8. Jörg J. Vehreschild
    9. Christof von Kalle
    10. Sylvia Thun

    Reviewed by ScreenIT

    5 evaluationsAppears in 1 listLatest version Latest activity

  10. New S.I.R. model used in the projection of COVID 19 cases in Brazil

    1. Augusto S. Freitas
    2. Silvio S. Lacrose Sandes
    3. Leonardo S. Silva

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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