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. Pattern Detection in Multiple Genome Sequences with Applications: The Case of All SARS-CoV-2 Complete Variants

    1. Konstantinos F. Xylogiannopoulos

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Estimating total morbidity burden of COVID-19: relative importance of death and disability

    1. Maia P. Smith

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Individual social contact data and population mobility data as early markers of SARS-CoV-2 transmission dynamics during the first wave in Germany—an analysis based on the COVIMOD study

    1. Damilola Victoria Tomori
    2. Nicole Rübsamen
    3. Tom Berger
    4. Stefan Scholz
    5. Jasmin Walde
    6. Ian Wittenberg
    7. Berit Lange
    8. Alexander Kuhlmann
    9. Johannes Horn
    10. Rafael Mikolajczyk
    11. Veronika K. Jaeger
    12. André Karch

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Genome-wide CRISPR activation screen identifies candidate receptors for SARS-CoV-2 entry

    1. Shiyou Zhu
    2. Ying Liu
    3. Zhuo Zhou
    4. Zhiying Zhang
    5. Xia Xiao
    6. Zhiheng Liu
    7. Ang Chen
    8. Xiaojing Dong
    9. Feng Tian
    10. Shihua Chen
    11. Yiyuan Xu
    12. Chunhui Wang
    13. Qiheng Li
    14. Xuran Niu
    15. Qian Pan
    16. Shuo Du
    17. Junyu Xiao
    18. Jianwei Wang
    19. Wensheng Wei

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. COVID-19 with early neurological and cardiac thromboembolic phenomena—timeline of incidence and clinical features

    1. Uma Sundar
    2. Sanah Merchant
    3. Meera Shah
    4. Amita Mukhopadhyay
    5. Shaonak Kolte
    6. Pramod Darole
    7. Sharvari Mahajan
    8. Ashank Bansal
    9. Satish Gosavi
    10. Dnaneshwar Asole
    11. Niteen D Karnik
    12. Ajay Mahajan
    13. Anagha Joshi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Cancer Services During the COVID-19 Pandemic: Systematic Review of Patient’s and Caregiver’s Experiences

    1. Symran Dhada
    2. Derek Stewart
    3. Ejaz Cheema
    4. Muhammad Abdul Hadi
    5. Vibhu Paudyal

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. SARS-CoV-2 transmission dynamics in Belarus in 2020 revealed by genomic and incidence data analysis

    1. Alina Nemira
    2. Ayotomiwa Ezekiel Adeniyi
    3. Elena L. Gasich
    4. Kirill Y. Bulda
    5. Leonid N. Valentovich
    6. Anatoly G. Krasko
    7. Olga Glebova
    8. Alexander Kirpich
    9. Pavel Skums

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Favourable antibody responses to human coronaviruses in children and adolescents with autoimmune rheumatic diseases

    1. Claire T. Deakin
    2. Georgina H. Cornish
    3. Kevin W. Ng
    4. Nikhil Faulkner
    5. William Bolland
    6. Veera Panova
    7. Joshua Hope
    8. Annachiara Rosa
    9. Ruth Harvey
    10. Saira Hussain
    11. Christopher Earl
    12. Bethany R. Jebson
    13. Meredyth G.Ll. Wilkinson
    14. Lucy R. Marshall
    15. Kathryn O’Brien
    16. Elizabeth C. Rosser
    17. Anna Radziszewska
    18. Hannah Peckham
    19. Judith Heaney
    20. Hannah Rickman
    21. Stavroula Paraskevopoulou
    22. Catherine F. Houlihan
    23. Moira J. Spyer
    24. Steve J. Gamblin
    25. John McCauley
    26. Eleni Nastouli
    27. Peter Cherepanov
    28. Coziana Ciurtin
    29. Lucy R. Wedderburn
    30. George Kassiotis

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Computational Electrostatics Predict Variations in SARS-CoV-2 Spike and Human ACE2 Interactions

    1. Scott P. Morton
    2. Joshua L. Phillips

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Transmission of SARS-CoV-2 on mink farms between humans and mink and back to humans

    1. Bas B. Oude Munnink
    2. Reina S. Sikkema
    3. David F. Nieuwenhuijse
    4. Robert Jan Molenaar
    5. Emmanuelle Munger
    6. Richard Molenkamp
    7. Arco van der Spek
    8. Paulien Tolsma
    9. Ariene Rietveld
    10. Miranda Brouwer
    11. Noortje Bouwmeester-Vincken
    12. Frank Harders
    13. Renate Hakze-van der Honing
    14. Marjolein C. A. Wegdam-Blans
    15. Ruth J. Bouwstra
    16. Corine GeurtsvanKessel
    17. Annemiek A. van der Eijk
    18. Francisca C. Velkers
    19. Lidwien A. M. Smit
    20. Arjan Stegeman
    21. Wim H. M. van der Poel
    22. Marion P. G. Koopmans

    Reviewed by ScreenIT, NCRC

    3 evaluationsAppears in 3 listsLatest version Latest activity
Newer Page 2293 of 2361 Older