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. A rapid review of the effectiveness of alternative education delivery strategies in medical, dental, nursing and pharmacy education during the COVID-19 pandemic

    1. Judith Carrier
    2. Deborah Edwards
    3. Michal Tombs
    4. Steve Riley
    5. Ruth Lewis
    6. Elizabeth Gillen
    7. Alison Cooper
    8. Adrian Edwards

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. A New Compartment Model of COVID-19 Transmission: The Broken-Link Model

    1. Yoichi Ikeda
    2. Kenji Sasaki
    3. Takashi Nakano

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Remdesivir for the treatment of patients hospitalized with COVID-19 receiving supplemental oxygen: a targeted literature review and meta-analysis

    1. Rachel Beckerman
    2. Andrea Gori
    3. Sushanth Jeyakumar
    4. Jakob J. Malin
    5. Roger Paredes
    6. Pedro Póvoa
    7. Nathaniel J. Smith
    8. Armando Teixeira-Pinto

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Broadly neutralizing anti-S2 antibodies protect against all three human betacoronaviruses that cause deadly disease

    1. Panpan Zhou
    2. Ge Song
    3. Hejun Liu
    4. Meng Yuan
    5. Wan-ting He
    6. Nathan Beutler
    7. Xueyong Zhu
    8. Longping V. Tse
    9. David R. Martinez
    10. Alexandra Schäfer
    11. Fabio Anzanello
    12. Peter Yong
    13. Linghang Peng
    14. Katharina Dueker
    15. Rami Musharrafieh
    16. Sean Callaghan
    17. Tazio Capozzola
    18. Oliver Limbo
    19. Mara Parren
    20. Elijah Garcia
    21. Stephen A. Rawlings
    22. Davey M. Smith
    23. David Nemazee
    24. Joseph G. Jardine
    25. Yana Safonova
    26. Bryan Briney
    27. Thomas F. Rogers
    28. Ian A. Wilson
    29. Ralph S. Baric
    30. Lisa E. Gralinski
    31. Dennis R. Burton
    32. Raiees Andrabi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Cumulative SARS-CoV-2 mutations and corresponding changes in immunity in an immunocompromised patient indicate viral evolution within the host

    1. Sissy Therese Sonnleitner
    2. Martina Prelog
    3. Stefanie Sonnleitner
    4. Eva Hinterbichler
    5. Hannah Halbfurter
    6. Dominik B. C. Kopecky
    7. Giovanni Almanzar
    8. Stephan Koblmüller
    9. Christian Sturmbauer
    10. Leonard Feist
    11. Ralf Horres
    12. Wilfried Posch
    13. Gernot Walder

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. SARS-CoV-2 Spike evolution influences GBP and IFITM sensitivity

    1. Dejan Mesner
    2. Ann-Kathrin Reuschl
    3. Matthew V.X Whelan
    4. Taylor Bronzovich
    5. Tafhima Haider
    6. Lucy G. Thorne
    7. Greg J. Towers
    8. Clare Jolly

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Chimeric mRNA based COVID-19 vaccine induces protective immunity against Omicron and Delta

    1. Qidong Hu
    2. Ying Zhao
    3. Namir Shaabani
    4. Xiaoxuan Lyu
    5. Haotian Sun
    6. Vincent Cruz
    7. Yi Kao
    8. Jia Xu
    9. Amber Fossier
    10. Karen Stegman
    11. Zhihao Wang
    12. Zhenping Wang
    13. Yue Hu
    14. Yi Zheng
    15. Lilian Kyaw
    16. Cipriano Zuluaga
    17. Hua Wang
    18. Hong Pei
    19. Colin Powers
    20. Robert Allen
    21. Hui Xie
    22. Henry Ji
    23. Runqiang Chen

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. SARS-CoV-2 mRNA-vaccine candidate; COReNAPCIN®, induces robust humoral and cellular immunity in mice and non-human primates

    1. Reza Alimohammadi
    2. Meysam Porgoo
    3. Mohamad Eftekhary
    4. Seyed Hossein Kiaie
    5. Ehsan Ansari Dezfouli
    6. Maryam Dehghani
    7. Kaveh Nasrollahi
    8. Talieh Malekshahabi
    9. Maryam Heidari
    10. Sedigheh Pouya
    11. Masoumeh Alimohammadi
    12. Dorsa Sattari Khavas
    13. Mohammad Sadra Modaresi
    14. Mohammad Hossein Ghasemi
    15. Hamed Ramyar
    16. Fatemeh Mohammadipour
    17. Fateme Hamzelouei
    18. Ahmadreza Mofayezi
    19. Seyed Saeed Mottaghi
    20. Amirhosein Rahmati
    21. Mohsen Razzaznian
    22. Vista Tirandazi
    23. Mahdi Tat
    24. Fatemeh Borzouee
    25. Hossein Sadeghi
    26. Melika Haji Mohammadi
    27. Leila Rastegar
    28. Seyed Milad Safar Sajadi
    29. Hossein Ehsanbakhsh
    30. Hamed Bazmbar
    31. Zeinab Baghernejadan
    32. Maedeh Shams Nouraei
    33. Pouya Pazooki
    34. Mina Pahlavanneshan
    35. Khadijeh Alishah
    36. Fateme Nasiri
    37. Neda Mokhberian
    38. Seyedeh Shima Mohammadi
    39. Shima Akar
    40. Hamidreza Niknam
    41. Marzieh Azizi
    42. Mohammad Ajoudanian
    43. Mohammad Hossein Moteallehi-Ardakani
    44. Seyed Ali Mousavi Shaegh
    45. Reihaneh Ramezani
    46. Vahid Salimi
    47. Reza Moazzami
    48. Seyed Mahmoud Hashemi
    49. Somaye Dehghanizadeh
    50. Vahid Khoddami

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Impact of the COVID-19 pandemic on breast cancer screening indicators in a Spanish population-based program: a cohort study

    1. Guillermo Bosch
    2. Margarita Posso
    3. Javier Louro
    4. Marta Roman
    5. Miquel Porta
    6. Xavier Castells
    7. Francesc Macià

    • Curated by eLife

      Evaluation Summary:

      This paper will be of interest to public health specialists and cancer scientists working in cancer prevention. The work presents valuable data on how the COVID-19 pandemic has impacted breast cancer screening indicators compared with previous years. Overall, the results support the assertion that while many key indicators have not been substantially impacted, the screening participation rate declined and fewer cancers were screen-detected in 2020-21.

      (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 #2 agreed to share their name with the authors.)

    Reviewed by eLife, ScreenIT

    5 evaluationsAppears in 2 listsLatest version Latest activity

  10. Social Capital, Urbanization Level, and COVID-19 Vaccination Uptake in the United States: A National Level Analysis

    1. Shan Qiao
    2. Zhenlong Li
    3. Jiajia Zhang
    4. Xiaowen Sun
    5. Camryn Garrett
    6. Xiaoming Li

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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