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. Changes in Physical Activity, Sitting and Sleep across the COVID-19 National Lockdown Period in Scotland

    1. Xanne Janssen
    2. Leanne Fleming
    3. Alison Kirk
    4. Lesley Rollins
    5. David Young
    6. Madeleine Grealy
    7. Bradley MacDonald
    8. Paul Flowers
    9. Lynn Williams

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. A prospective observational study of post-COVID-19 chronic fatigue syndrome following the first pandemic wave in Germany and biomarkers associated with symptom severity

    1. Claudia Kedor
    2. Helma Freitag
    3. Lil Meyer-Arndt
    4. Kirsten Wittke
    5. Leif G. Hanitsch
    6. Thomas Zoller
    7. Fridolin Steinbeis
    8. Milan Haffke
    9. Gordon Rudolf
    10. Bettina Heidecker
    11. Thomas Bobbert
    12. Joachim Spranger
    13. Hans-Dieter Volk
    14. Carsten Skurk
    15. Frank Konietschke
    16. Friedemann Paul
    17. Uta Behrends
    18. Judith Bellmann-Strobl
    19. Carmen Scheibenbogen

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Sustained expression of inflammatory monocytes and activated T cells in COVID‐19 patients and recovered convalescent plasma donors

    1. Ravinder Singh
    2. Hamed Hemati
    3. Meenu Bajpai
    4. Pushpa Yadav
    5. Ashish Maheshwari
    6. Suresh Kumar
    7. Sonal Agrawal
    8. Jayesh Kumar Sevak
    9. Mojahidul Islam
    10. Jaswinder Singh Mars
    11. Shiv K Sarin
    12. Nirupama Trehanpati

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. mRNA-1273 efficacy in a severe COVID-19 model: attenuated activation of pulmonary immune cells after challenge

    1. Michelle Meyer
    2. Yuan Wang
    3. Darin Edwards
    4. Gregory R. Smith
    5. Aliza B. Rubenstein
    6. Palaniappan Ramanathan
    7. Chad E. Mire
    8. Colette Pietzsch
    9. Xi Chen
    10. Yongchao Ge
    11. Wan Sze Cheng
    12. Carole Henry
    13. Angela Woods
    14. LingZhi Ma
    15. Guillaume B. E. Stewart-Jones
    16. Kevin W. Bock
    17. Mahnaz Minai
    18. Bianca M. Nagata
    19. Sivakumar Periasamy
    20. Pei-Yong Shi
    21. Barney S. Graham
    22. Ian N. Moore
    23. Irene Ramos
    24. Olga G. Troyanskaya
    25. Elena Zaslavsky
    26. Andrea Carfi
    27. Stuart C. Sealfon
    28. Alexander Bukreyev

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Onset of effects of non-pharmaceutical interventions on COVID-19 infection rates in 176 countries

    1. Ingo W. Nader
    2. Elisabeth L. Zeilinger
    3. Dana Jomar
    4. Clemens Zauchner

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Efficient production of Moloney murine leukemia virus-like particles pseudotyped with the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) spike protein

    1. Sylvie Roy
    2. Karim Ghani
    3. Pedro O. de Campos-Lima
    4. Manuel Caruso

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Decreased Interfacial Dynamics Caused by the N501Y Mutation in the SARS-CoV-2 S1 Spike:ACE2 Complex

    1. Wesam S Ahmed
    2. Angelin M Philip
    3. Kabir H Biswas

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Effects of Environmental Factors on Severity and Mortality of COVID-19

    1. Domagoj Kifer
    2. Dario Bugada
    3. Judit Villar-Garcia
    4. Ivan Gudelj
    5. Cristina Menni
    6. Carole Sudre
    7. Frano Vučković
    8. Ivo Ugrina
    9. Luca F. Lorini
    10. Margarita Posso
    11. Silvia Bettinelli
    12. Nicola Ughi
    13. Alessandro Maloberti
    14. Oscar Epis
    15. Cristina Giannattasio
    16. Claudio Rossetti
    17. Livije Kalogjera
    18. Jasminka Peršec
    19. Luke Ollivere
    20. Benjamin J. Ollivere
    21. Huadong Yan
    22. Ting Cai
    23. Guruprasad P. Aithal
    24. Claire J. Steves
    25. Anu Kantele
    26. Mikael Kajova
    27. Olli Vapalahti
    28. Antti Sajantila
    29. Rafal Wojtowicz
    30. Waldemar Wierzba
    31. Zbigniew Krol
    32. Artur Zaczynski
    33. Katarina Zycinska
    34. Marek Postula
    35. Ivica Lukšić
    36. Rok Čivljak
    37. Alemka Markotić
    38. Johannes Brachmann
    39. Andreas Markl
    40. Christian Mahnkopf
    41. Benjamin Murray
    42. Sebastien Ourselin
    43. Ana M. Valdes
    44. Juan P. Horcajada
    45. Xavier Castells
    46. Julio Pascual
    47. Massimo Allegri
    48. Dragan Primorac
    49. Tim D. Spector
    50. Clara Barrios
    51. Gordan Lauc

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  9. Performance and Implementation Evaluation of the Abbott BinaxNOW Rapid Antigen Test in a High-Throughput Drive-Through Community Testing Site in Massachusetts

    1. Nira R. Pollock
    2. Jesica R. Jacobs
    3. Kristine Tran
    4. Amber E. Cranston
    5. Sita Smith
    6. Claire Y. O’Kane
    7. Tyler J. Roady
    8. Anne Moran
    9. Alison Scarry
    10. Melissa Carroll
    11. Leila Volinsky
    12. Gloria Perez
    13. Pinal Patel
    14. Stacey Gabriel
    15. Niall J. Lennon
    16. Lawrence C. Madoff
    17. Catherine Brown
    18. Sandra C. Smole

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Basic estimation-prediction techniques for Covid-19, and a prediction for Stockholm

    1. Tom Britton

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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