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. Benchmarking the accuracy of structure‐based binding affinity predictors on Spike–ACE2 deep mutational interaction set

    1. Burcu Ozden
    2. Eda Şamiloğlu
    3. Atakan Özsan
    4. Mehmet Erguven
    5. Can Yükrük
    6. Mehdi Koşaca
    7. Melis Oktayoğlu
    8. Muratcan Menteş
    9. Nazmiye Arslan
    10. Gökhan Karakülah
    11. Ayşe Berçin Barlas
    12. Büşra Savaş
    13. Ezgi Karaca

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. The methodologies to assess the effectiveness of non-pharmaceutical interventions during COVID-19: a systematic review

    1. Nicolas Banholzer
    2. Adrian Lison
    3. Dennis Özcelik
    4. Tanja Stadler
    5. Stefan Feuerriegel
    6. Werner Vach

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Pre-procedural testing improves estimated COVID-19 prevalence and trends

    1. Genevieve C. Pang
    2. Amy T. Hou
    3. Krizhna L. Bayudan
    4. Ethan A. Frank
    5. Jennifer Pastiglione
    6. Lorrin W. Pang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Coronavirus Infection in Neonates: Neurodevelopmental Outcomes at 18 Months of Age

    1. Mariam Ayed
    2. Zainab Alsaffar
    3. Zainab Bahzad
    4. Yasmeen Buhamad
    5. Ali Abdulkareem
    6. Alaa AlQattan
    7. Alia Embaireeg
    8. Mais Kartam
    9. Hessa Alkandari

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Monitoring real-time transmission heterogeneity from incidence data

    1. Yunjun Zhang
    2. Tom Britton
    3. Xiaohua Zhou

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Evaluation of isotype specific salivary antibody assays for detecting previous SARS-CoV-2 infection in children and adults

    1. Amy C Thomas
    2. Elizabeth Oliver
    3. Holly E Baum
    4. Kapil Gupta
    5. Kathryn L Shelley
    6. Anna E Long
    7. Hayley E Jones
    8. Joyce Smith
    9. Benjamin Hitchings
    10. Natalie di Bartolo
    11. Kate Vasileiou
    12. Fruzsina Rabi
    13. Hanin Alamir
    14. Malak Eghleilib
    15. Ore Francis
    16. Jennifer Oliver
    17. Begonia Morales-Aza
    18. Ulrike Obst
    19. Debbie Shattock
    20. Rachael Barr
    21. Lucy Collingwood
    22. Kaltun Duale
    23. Niall Grace
    24. Guillaume Gonnage Livera
    25. Lindsay Bishop
    26. Harriet Downing
    27. Fernanda Rodrigues
    28. Nicholas Timpson
    29. Caroline L Relton
    30. Ashley Toye
    31. Derek N Woolfson
    32. Imre Berger
    33. Anu Goenka
    34. Andrew D Davidson
    35. Kathleen M Gillespie
    36. Alistair JK Williams
    37. Mick Bailey
    38. Ellen Brooks-Pollock
    39. Adam Finn
    40. Alice Halliday
    41. the CoMMinS Study Team

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Disentangling the rhythms of human activity in the built environment for airborne transmission risk: An analysis of large-scale mobility data

    1. Zachary Susswein
    2. Eva C Rest
    3. Shweta Bansal

    • Curated by eLife

      eLife assessment

      This is a valuable study characterizing seasonal deviations in indoor activity at the county level in the United States with relevance to respiratory disease transmission. Whereas the data are compelling, some of the main claims are only partially supported and need more work. This study and its results are of potential interest to those people constructing more evidence-based infectious disease transmission models.

    Reviewed by eLife, ScreenIT

    6 evaluationsAppears in 2 listsLatest version Latest activity

  8. COVID-19 and Curcumin: Using VOSviewer software to explore scientific landscapes – A bibliometric analysis

    1. Mostafa H. Abd El Wahab

    Reviewed by PeerRef, ScreenIT

    2 evaluationsAppears in 2 listsLatest version Latest activity

  9. High prevalence of burnout syndrome among medical and nonmedical residents during the COVID-19 pandemic

    1. Rebeca da Nóbrega Lucena Pinho
    2. Thais Ferreira Costa
    3. Nayane Miranda Silva
    4. Adriana Ferreira Barros-Areal
    5. André de Matos Salles
    6. Andrea Pedrosa Ribeiro Alves Oliveira
    7. Carlos Henrique Reis Esselin Rassi
    8. Ciro Martins Gomes
    9. Dayde Lane Mendonça da Silva
    10. Fernando Araújo Rodrigues de Oliveira
    11. Isadora Jochims
    12. Ivan Henrique Ranulfo Vaz Filho
    13. Lucas Alves de Brito Oliveira
    14. Marta Alves Rosal
    15. Marta Pinheiro Lima
    16. Mayra Veloso Ayrimoraes Soares
    17. Patricia Shu Kurizky
    18. Viviane Cristina Uliana Peterle
    19. Ana Paula Monteiro Gomides
    20. Licia Maria Henrique da Mota
    21. Cleandro Pires de Albuquerque
    22. Cezar Kozak Simaan
    23. Veronica Moreira Amado

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. “Efficacy and Safety of Fixed Combination of Hydroxychloroquine with Azithromycin Versus Hydroxychloroquine and Placebo in Patients with Mild COVID-19: Randomized, double blind, Placebo controlled trial”

    1. Ivonne A Roy-García
    2. Moises Moreno-Noguez
    3. Rodolfo Rivas-Ruiz
    4. Marta Zapata-Tarres
    5. Marcela Perez-Rodriguez
    6. Magaly A Ortiz-Zamora
    7. Lourdes Gabriela Navarro-Susano
    8. Lilia M Guzman-Rivas
    9. Luis Rey Garcia-Cortes
    10. Icela Palma-Lara
    11. Pedro Gutierrez-Catrellón

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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