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. The impact of the COVID-19 pandemic on the provision & utilisation of primary health care services in Goma, Democratic Republic of the Congo, Kambia district, Sierra Leone & Masaka district, Uganda

    1. K Kasonia
    2. D Tindanbil
    3. J Kitonsa
    4. K Baisley
    5. F Zalwango
    6. L Enria
    7. A Mansaray
    8. M James
    9. Y Nije
    10. D Tetsa Tata
    11. B J Lawal
    12. A Drammeh
    13. B Lowe
    14. D Mukadi-Bamuleka
    15. S Mounier-Jack
    16. F Nakiyimba
    17. P Obady
    18. J Muhavi
    19. J S Bangura
    20. B Greenwood
    21. M Samai
    22. B Leigh
    23. D Watson-Jones
    24. H Kavunga-Membo
    25. E Ruzagira
    26. K E. Gallagher

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Urban greenspace and anxiety symptoms during the COVID-19 pandemic: A 20-month follow up of 19,848 participants in England

    1. Feifei Bu
    2. Hei Wan Mak
    3. Andrew Steptoe
    4. Benedict W. Wheeler
    5. Daisy Fancourt

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Mobile primary healthcare for post-COVID patients in rural areas: a proof-of-concept study

    1. Andreas Stallmach
    2. Katrin Katzer
    3. Bianca Besteher
    4. Kathrin Finke
    5. Benjamin Giszas
    6. Yvonne Gremme
    7. Rami Abou Hamdan
    8. Katja Lehmann-Pohl
    9. Maximilian Legen
    10. Jan Christoph Lewejohann
    11. Marlene Machnik
    12. Majd Moshmosh Alsabbagh
    13. Luisa Nardini
    14. Christian Puta
    15. Zoe Stallmach
    16. Philipp A. Reuken

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. High-dimensional multinomial multiclass severity scoring of COVID-19 pneumonia using CT radiomics features and machine learning algorithms

    1. Isaac Shiri
    2. Shayan Mostafaei
    3. Atlas Haddadi Avval
    4. Yazdan Salimi
    5. Amirhossein Sanaat
    6. Azadeh Akhavanallaf
    7. Hossein Arabi
    8. Arman Rahmim
    9. Habib Zaidi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Removal of clinically relevant SARS-CoV-2 variants by an affinity resin containing Galanthus nivalis agglutinin

    1. Melanie Gooldy
    2. Christelle M. Roux
    3. Steven P. LaRosa
    4. Nicole Spaulding
    5. Charles J. Fisher

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Which countries need COVID-19 vaccines the most? Development of a prioritisation tool

    1. Vageesh Jain
    2. Rifat Atun
    3. Paul Hansen
    4. Paula Lorgelly

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Structural and functional characteristics of SARS-CoV-2 Omicron subvariant BA.2 spike

    1. Jun Zhang
    2. Weichun Tang
    3. Hailong Gao
    4. Christy L. Lavine
    5. Wei Shi
    6. Hanqin Peng
    7. Haisun Zhu
    8. Krishna Anand
    9. Matina Kosikova
    10. Hyung Joon Kwon
    11. Pei Tong
    12. Avneesh Gautam
    13. Sophia Rits-Volloch
    14. Shaowei Wang
    15. Megan L. Mayer
    16. Duane R. Wesemann
    17. Michael S. Seaman
    18. Jianming Lu
    19. Tianshu Xiao
    20. Hang Xie
    21. Bing Chen

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Incorporating Mass Vaccination into Compartment Models for Infectious Diseases

    1. Glenn Ledder

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Effects of boosted mRNA and adenoviral‐vectored vaccines on immune responses to omicron BA.1 and BA.2 following the heterologous CoronaVac/AZD1222 vaccination

    1. Nungruthai Suntronwong
    2. Sitthichai Kanokudom
    3. Chompoonut Auphimai
    4. Suvichada Assawakosri
    5. Thanunrat Thongmee
    6. Preeyaporn Vichaiwattana
    7. Thaneeya Duangchinda
    8. Warangkana Chantima
    9. Pattarakul Pakchotanon
    10. Jira Chansaenroj
    11. Jiratchaya Puenpa
    12. Pornjarim Nilyanimit
    13. Donchida Srimuan
    14. Thaksaporn Thatsanatorn
    15. Natthinee Sudhinaraset
    16. Nasamon Wanlapakorn
    17. Juthathip Mongkolsapaya
    18. Yong Poovorawan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. GM-CSF-activated human dendritic cells promote type1 T follicular helper cells (Tfh1) polarization in a CD40-dependent manner

    1. Sarantis Korniotis
    2. Melissa Saichi
    3. Coline Trichot
    4. Caroline Hoffmann
    5. Elise Amblard
    6. Annick Viguier
    7. Sophie Grondin
    8. Floriane Noel
    9. Hamid Mattoo
    10. Vassili Soumelis

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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