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. Excess mortality during the Covid-19 pandemic: Early evidence from England and Wales

    1. Sotiris Vandoros

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. The role of school reopening in the spread of COVID-19

    1. Richard Beesley

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Examining COVID19 Positivity-Ratio Trends in US States from April-July: Are Rising Caseloads Attributable to ‘More Testing’ and Do State Political-Affiliations Play a Role?

    1. Bisakha P. Sen
    2. Sangeetha Padalabalanarayanan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. COVID-19 Adaptive Humoral Immunity Models: Weakly Neutralizing Versus Antibody-Disease Enhancement Scenarios

    1. Antoine Danchin
    2. Oriane Pagani-Azizi
    3. Gabriel Turinici
    4. Ghozlane Yahiaoui

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Impact of Residential Neighborhood and Race/Ethnicity on Outcomes of Hospitalized Patients with COVID-19 in the Bronx

    1. Dwayvania Miller
    2. Amara Sarwal
    3. Bo Yu
    4. Edgar Gomez
    5. Victor Perez-Gutierrez
    6. Marcia Gossai
    7. Elisenda Valdez
    8. Astrid Mendez
    9. Sarah Chaudry
    10. Usha Venugopal
    11. Vihren Dimitrov
    12. Moiz Kasubhai
    13. Vidya Menon

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Estimation of infection rate and the population size potentially exposed to SARS-CoV-2 in Japan during 2020

    1. Motohiko Naito

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Serial co-expression analysis of host factors from SARS-CoV viruses highly converges with former high-throughput screenings and proposes key regulators

    1. Antonio J Pérez-Pulido
    2. Gualberto Asencio-Cortés
    3. Ana M Brokate-Llanos
    4. Gloria Brea-Calvo
    5. Rosario Rodríguez-Griñolo
    6. Andrés Garzón
    7. Manuel J Muñoz

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  8. Integrated Single-Cell Atlases Reveal an Oral SARS-CoV-2 Infection and Transmission Axis

    1. Ni Huang
    2. Paola Perez
    3. Takafumi Kato
    4. Yu Mikami
    5. Kenichi Okuda
    6. Rodney C. Gilmore
    7. Cecilia Domínguez Conde
    8. Billel Gasmi
    9. Sydney Stein
    10. Margaret Beach
    11. Eileen Pelayo
    12. Jose Maldonado
    13. Bernard LaFont
    14. Ricardo Padilla
    15. Valerie Murrah
    16. Robert Maile
    17. Will Lovell
    18. Shannon Wallet
    19. Natalie M. Bowman
    20. Suzanne L Meinig
    21. Matthew C Wolfgang
    22. Saibyasachi N. Choudhury
    23. Mark Novotny
    24. Brian D Aevermann
    25. Richard Scheuermann
    26. Gabrielle Cannon
    27. Carlton Anderson
    28. Julie Marchesan
    29. Mandy Bush
    30. Marcelo Freire
    31. Adam Kimple
    32. Daniel L. Herr
    33. Joseph Rabin
    34. Alison Grazioli
    35. Benjamin N. French
    36. Thomas Pranzatelli
    37. John A. Chiorini
    38. David E. Kleiner
    39. Stefania Pittaluga
    40. Stephen Hewitt
    41. Peter D. Burbelo
    42. Daniel Chertow
    43. NIH COVID-19 Autopsy Consortium
    44. HCA Oral and Craniofacial Biological Network
    45. Karen Frank
    46. Janice Lee
    47. Richard C. Boucher
    48. Sarah A. Teichmann
    49. Blake M. Warner
    50. Kevin M. Byrd

    Reviewed by ScreenIT, Rapid Reviews Infectious Diseases

    4 evaluationsAppears in 2 listsLatest version Latest activity

  9. A discrete-time-evolution model to forecast progress of Covid-19 outbreak

    1. Evaldo M. F. Curado
    2. Marco R. Curado

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Secondary Traumatic Stress and Burnout in Healthcare Workers during COVID-19 Outbreak

    1. Graziella Orrù
    2. Francesca Marzetti
    3. Ciro Conversano
    4. Guido Vagheggini
    5. Mario Miccoli
    6. Rebecca Ciacchini
    7. Eugenia Panait
    8. Angelo Gemignani

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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