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. Retrospective cohort study of clinical characteristics of 2199 hospitalised patients with COVID-19 in New York City

    1. Ishan Paranjpe
    2. Adam J Russak
    3. Jessica K De Freitas
    4. Anuradha Lala
    5. Riccardo Miotto
    6. Akhil Vaid
    7. Kipp W Johnson
    8. Matteo Danieletto
    9. Eddye Golden
    10. Dara Meyer
    11. Manbir Singh
    12. Sulaiman Somani
    13. Arjun Kapoor
    14. Ross O'Hagan
    15. Sayan Manna
    16. Udit Nangia
    17. Suraj K Jaladanki
    18. Paul O’Reilly
    19. Laura M Huckins
    20. Patricia Glowe
    21. Arash Kia
    22. Prem Timsina
    23. Robert M Freeman
    24. Matthew A Levin
    25. Jeffrey Jhang
    26. Adolfo Firpo
    27. Patricia Kovatch
    28. Joseph Finkelstein
    29. Judith A Aberg
    30. Emilia Bagiella
    31. Carol R Horowitz
    32. Barbara Murphy
    33. Zahi A Fayad
    34. Jagat Narula
    35. Eric J Nestler
    36. V Fuster
    37. Carlos Cordon-Cardo
    38. Dennis Charney
    39. David L Reich
    40. Allan Just
    41. Erwin P Bottinger
    42. Alexander W Charney
    43. Benjamin S Glicksberg
    44. Girish N Nadkarni

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Augmented curation of clinical notes from a massive EHR system reveals symptoms of impending COVID-19 diagnosis

    1. Tyler Wagner
    2. FNU Shweta
    3. Karthik Murugadoss
    4. Samir Awasthi
    5. AJ Venkatakrishnan
    6. Sairam Bade
    7. Arjun Puranik
    8. Martin Kang
    9. Brian W Pickering
    10. John C O'Horo
    11. Philippe R Bauer
    12. Raymund R Razonable
    13. Paschalis Vergidis
    14. Zelalem Temesgen
    15. Stacey Rizza
    16. Maryam Mahmood
    17. Walter R Wilson
    18. Douglas Challener
    19. Praveen Anand
    20. Matt Liebers
    21. Zainab Doctor
    22. Eli Silvert
    23. Hugo Solomon
    24. Akash Anand
    25. Rakesh Barve
    26. Gregory Gores
    27. Amy W Williams
    28. William G Morice
    29. John Halamka
    30. Andrew Badley
    31. Venky Soundararajan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Improving precision and power in randomized trials for COVID‐19 treatments using covariate adjustment, for binary, ordinal, and time‐to‐event outcomes

    1. David Benkeser
    2. Iván Díaz
    3. Alex Luedtke
    4. Jodi Segal
    5. Daniel Scharfstein
    6. Michael Rosenblum

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. COVID-19 Asymptomatic Infection Estimation

    1. Yang Yu
    2. Yu-Ren Liu
    3. Fan-Ming Luo
    4. Wei-Wei Tu
    5. De-Chuan Zhan
    6. Guo Yu
    7. Zhi-Hua Zhou

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. A Web-Based, Mobile-Responsive Application to Screen Health Care Workers for COVID-19 Symptoms: Rapid Design, Deployment, and Usage

    1. Haipeng Zhang
    2. Dimitar Dimitrov
    3. Lynn Simpson
    4. Nina Plaks
    5. Balaji Singh
    6. Stephen Penney
    7. Jo Charles
    8. Rosemary Sheehan
    9. Steven Flammini
    10. Shawn Murphy
    11. Adam Landman

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Surveying Tenants of Permanent Supportive Housing in Skid Row about COVID-19

    1. Benjamin F. Henwood
    2. Brian Redline
    3. Jack Lahey

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. The effect of BCG vaccination on COVID-19 examined by a statistical approach: no positive results from the Diamond Princess and cross-national differences previously reported by world-wide comparisons are flawed in several ways

    1. Masakazu Asahara

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. A Chronological and Geographical Analysis of Personal Reports of COVID-19 on Twitter

    1. Ari Z. Klein
    2. Arjun Magge
    3. Karen O’Connor
    4. Haitao Cai
    5. Davy Weissenbacher
    6. Graciela Gonzalez-Hernandez

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Saliva sample as a non-invasive specimen for the diagnosis of coronavirus disease 2019: a cross-sectional study

    1. E. Pasomsub
    2. S.P. Watcharananan
    3. K. Boonyawat
    4. P. Janchompoo
    5. G. Wongtabtim
    6. W. Suksuwan
    7. S. Sungkanuparph
    8. A. Phuphuakrat

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Effects of COVID-19 Infection during Pregnancy and Neonatal Prognosis: What Is the Evidence?

    1. Álvaro Francisco Lopes de Sousa
    2. Herica Emilia Félix de Carvalho
    3. Layze Braz de Oliveira
    4. Guilherme Schneider
    5. Emerson Lucas Silva Camargo
    6. Evandro Watanabe
    7. Denise de Andrade
    8. Ana Fátima Carvalho Fernandes
    9. Isabel Amélia Costa Mendes
    10. Inês Fronteira

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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