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. High sensitivity CDC EUA SARS-CoV-2 kit-based End Point-PCR assay.

    1. Byron Freire-Paspuel
    2. Patricio Vega-Marino
    3. Alberto Velez
    4. Marilyn Cruz
    5. Miguel Angel Garcia Bereguiain

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. COVID-19 Rapid Diagnostic test results and their associations with certain factors among the residents of Balochistan

    1. Ehsan Larik
    2. Muhammad Arif
    3. Abid Saeed
    4. Mirza Amir Baig
    5. Zakir Hussain
    6. Ambreen Chaudhary
    7. Zeeshan Iqbal Baig
    8. Zubair Bugti
    9. Jan Inayat
    10. Khair Muhammad
    11. Muhammad Abdullah
    12. Zubair Ahmed
    13. Qurat-ul-ain
    14. Aftab Kakar
    15. Nasir Sheik

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Prime-boost vaccination of mice and Rhesus macaques with two novel adenovirus vectored COVID-19 vaccine candidates

    1. Shengxue Luo
    2. Panli Zhang
    3. Bochao Liu
    4. Chan Yang
    5. Chaolan Liang
    6. Qi Wang
    7. Ling Zhang
    8. Xi Tang
    9. Jinfeng Li
    10. Shuiping Hou
    11. Jinfeng Zeng
    12. Yongshui Fu
    13. Jean-Pierre Allain
    14. Tingting Li
    15. Yuming Zhang
    16. Chengyao Li

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Knowledge, attitude and practice among Ophthalmic Health Care Personnel (HCP) towards COVID-19 pandemic in Nepal: A web-based cross-sectional study

    1. Dr Zahir Ansari
    2. Dr Babu Dhanendra Chaurasiya
    3. Dr Sirjana Adhikari
    4. Dr Uday Chandra Prakash
    5. Bikram Adhikari
    6. Dr Sahana Khatoon

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. A collaborative online AI engine for CT-based COVID-19 diagnosis

    1. Yongchao Xu
    2. Liya Ma
    3. Fan Yang
    4. Yanyan Chen
    5. Ke Ma
    6. Jiehua Yang
    7. Xian Yang
    8. Yaobing Chen
    9. Chang Shu
    10. Ziwei Fan
    11. Jiefeng Gan
    12. Xinyu Zou
    13. Renhao Huang
    14. Changzheng Zhang
    15. Xiaowu Liu
    16. Dandan Tu
    17. Chuou Xu
    18. Wenqing Zhang
    19. Dehua Yang
    20. Ming-Wei Wang
    21. Xi Wang
    22. Xiaoliang Xie
    23. Hongxiang Leng
    24. Nagaraj Holalkere
    25. Neil J. Halin
    26. Ihab Roushdy Kamel
    27. Jia Wu
    28. Xuehua Peng
    29. Xiang Wang
    30. Jianbo Shao
    31. Pattanasak Mongkolwat
    32. Jianjun Zhang
    33. Daniel L. Rubin
    34. Guoping Wang
    35. Chuangsheng Zheng
    36. Zhen Li
    37. Xiang Bai
    38. Tian Xia

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. SARS-CoV-2 antibodies, serum inflammatory biomarkers and clinical severity of hospitalized COVID-19 patients

    1. Roberto Gozalbo-Rovira
    2. Estela Gimenez
    3. Víctor Latorre
    4. Clara Francés-Gómez
    5. Eliseo Albert
    6. Javier Buesa
    7. Alberto Marina
    8. María Luisa Blasco
    9. Jaime Signes-Costa
    10. Jesús Rodríguez-Díaz
    11. Ron Geller
    12. David Navarro

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. A longitudinal study of SARS-CoV-2-infected patients reveals a high correlation between neutralizing antibodies and COVID-19 severity

    1. Vincent Legros
    2. Solène Denolly
    3. Manon Vogrig
    4. Bertrand Boson
    5. Eglantine Siret
    6. Josselin Rigaill
    7. Sylvie Pillet
    8. Florence Grattard
    9. Sylvie Gonzalo
    10. Paul Verhoeven
    11. Omran Allatif
    12. Philippe Berthelot
    13. Carole Pélissier
    14. Guillaume Thiery
    15. Elisabeth Botelho-Nevers
    16. Guillaume Millet
    17. Jérôme Morel
    18. Stéphane Paul
    19. Thierry Walzer
    20. François-Loïc Cosset
    21. Thomas Bourlet
    22. Bruno Pozzetto

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Comparing Decision Tree-Based Ensemble Machine Learning Models for COVID-19 Death Probability Profiling

    1. Carlos Pedro Gonçalves
    2. José Rouco

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Predictive accuracy of enhanced versions of the on-admission National Early Warning Score in estimating the risk of COVID-19 for unplanned admission to hospital: a retrospective development and validation study

    1. Muhammad Faisal
    2. Mohammed Amin Mohammed
    3. Donald Richardson
    4. Ewout W. Steyerberg
    5. Massimo Fiori
    6. Kevin Beatson

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Predicting the end-stage of the COVID-19 epidemic in Brazil

    1. W.E. Fitzgibbon
    2. J.J. Morgan
    3. G.F. Webb
    4. Y. Wu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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