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. Clinical spectrum of coronavirus disease 2019 in Iceland: population based cohort study

    1. Elias Eythorsson
    2. Dadi Helgason
    3. Ragnar Freyr Ingvarsson
    4. Helgi K Bjornsson
    5. Lovisa Bjork Olafsdottir
    6. Valgerdur Bjarnadottir
    7. Hrafnhildur Linnet Runolfsdottir
    8. Solveig Bjarnadottir
    9. Arnar Snaer Agustsson
    10. Kristin Oskarsdottir
    11. Hrafn Hliddal Thorvaldsson
    12. Gudrun Kristjansdottir
    13. Brynja Armannsdottir
    14. Agnar Bjarnason
    15. Birgir Johannsson
    16. Olafur Gudlaugsson
    17. Magnus Gottfredsson
    18. Martin I Sigurdsson
    19. Olafur S Indridason
    20. Runolfur Palsson

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Pulmonary Surfactant Proteins Are Inhibited by Immunoglobulin A Autoantibodies in Severe COVID-19

    1. Tobias Sinnberg
    2. Christa Lichtensteiger
    3. Omar Hasan Ali
    4. Oltin T. Pop
    5. Ann-Kristin Jochum
    6. Lorenz Risch
    7. Silvio D. Brugger
    8. Ana Velic
    9. David Bomze
    10. Philipp Kohler
    11. Pietro Vernazza
    12. Werner C. Albrich
    13. Christian R. Kahlert
    14. Marie-Therese Abdou
    15. Nina Wyss
    16. Kathrin Hofmeister
    17. Heike Niessner
    18. Carl Zinner
    19. Mara Gilardi
    20. Alexandar Tzankov
    21. Martin Röcken
    22. Alex Dulovic
    23. Srikanth Mairpady Shambat
    24. Natalia Ruetalo
    25. Philipp K. Buehler
    26. Thomas C. Scheier
    27. Wolfram Jochum
    28. Lukas Kern
    29. Samuel Henz
    30. Tino Schneider
    31. Gabriela M. Kuster
    32. Maurin Lampart
    33. Martin Siegemund
    34. Roland Bingisser
    35. Michael Schindler
    36. Nicole Schneiderhan-Marra
    37. Hubert Kalbacher
    38. Kathy D. McCoy
    39. Werner Spengler
    40. Martin H. Brutsche
    41. Boris Maček
    42. Raphael Twerenbold
    43. Josef M. Penninger
    44. Matthias S. Matter
    45. Lukas Flatz

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Detection and Stability of SARS-CoV-2 Fragments in Wastewater: Impact of Storage Temperature

    1. Rudolf Markt
    2. Markus Mayr
    3. Evelyn Peer
    4. Andreas O. Wagner
    5. Nina Lackner
    6. Heribert Insam

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Mass Screening for SARS-CoV-2 Infection among Residents and Staff in Twenty-eight Long-term Care Facilities in Fulton County, Georgia

    1. Carson Telford
    2. Udodirim Onwubiko
    3. David Holland
    4. Kim Turner
    5. Juliana Prieto
    6. Sasha Smith
    7. Jane Yoon
    8. Wecheeta Brown
    9. Allison Chamberlain
    10. Neel Gandhi
    11. Shamimul Khan
    12. Steve Williams
    13. Fazle Khan
    14. Sarita Shah

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Prediction of COVID-19 Active and Total Cases After a Fall and Rise of Cases

    1. Narayanan C. Viswanath

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Role of the chronic air pollution levels in the Covid-19 outbreak risk in Italy

    1. Daniele Fattorini
    2. Francesco Regoli

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Modeling the Covid‐19 epidemic using time series econometrics

    1. Adam Goliński
    2. Peter Spencer

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Epidemiological impact of prioritising SARS-CoV-2 vaccination by antibody status: mathematical modelling analyses

    1. Houssein H Ayoub
    2. Hiam Chemaitelly
    3. Monia Makhoul
    4. Zaina Al Kanaani
    5. Einas Al Kuwari
    6. Adeel A Butt
    7. Peter Coyle
    8. Andrew Jeremijenko
    9. Anvar Hassan Kaleeckal
    10. Ali Nizar Latif
    11. Riyazuddin Mohammad Shaik
    12. Hanan F Abdul Rahim
    13. Gheyath K Nasrallah
    14. Hadi M Yassine
    15. Mohamed G Al Kuwari
    16. Hamad Eid Al Romaihi
    17. Mohamed H Al-Thani
    18. Roberto Bertollini
    19. Abdullatif Al Khal
    20. Laith J Abu-Raddad

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  9. Diagnostic accuracy of two commercial SARS-CoV-2 antigen-detecting rapid tests at the point of care in community-based testing centers

    1. Alice Berger
    2. Marie Therese Ngo Nsoga
    3. Francisco Javier Perez-Rodriguez
    4. Yasmine Abi Aad
    5. Pascale Sattonnet-Roche
    6. Angèle Gayet-Ageron
    7. Cyril Jaksic
    8. Giulia Torriani
    9. Erik Boehm
    10. Ilona Kronig
    11. Jilian A. Sacks
    12. Margaretha de Vos
    13. Frédérique Jacquerioz Bausch
    14. François Chappuis
    15. Adriana Renzoni
    16. Laurent Kaiser
    17. Manuel Schibler
    18. Isabella Eckerle

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  10. COVID-19 mortality in cancer patients: a report from a tertiary cancer centre in India

    1. Anurag Mehta
    2. Smreti Vasudevan
    3. Anuj Parkash
    4. Anurag Sharma
    5. Tanu Vashist
    6. Vidya Krishna

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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