Scientific Communication and Education

A targeted e-learning approach for keeping universities open during the COVID-19 pandemic while reducing student physical interactions

1. Sing Chen Yeo
2. Clin K. Y. Lai
3. Jacinda Tan
4. Joshua J. Gooley

Reviewed by ScreenIT

Machine Learning Maps Research Needs in COVID-19 Literature

1. Anhvinh Doanvo
2. Xiaolu Qian
3. Divya Ramjee
4. Helen Piontkivska
5. Angel Desai
6. Maimuna Majumder

Reviewed by ScreenIT

The knowledge and practice towards COVID-19 pandemic prevention among residents of Ethiopia. An online cross-sectional study

1. Daniel Bekele
2. Tadesse Tolossa
3. Reta Tsegaye
4. Wondesen Teshome

Reviewed by ScreenIT

Covid-19 pandemic and the unprecedented mobilisation of scholarly efforts prompted by a health crisis: Scientometric comparisons across SARS, MERS and 2019-nCoV literature

1. Milad Haghani
2. Michiel C. J. Bliemer

Reviewed by ScreenIT

The representation of women as authors of submissions to ecology journals during the COVID-19 pandemic

1. Charles W. Fox

Reviewed by ScreenIT

Knowledge, attitude and practice of secondary school students toward COVID-19 epidemic in Italy: a cross selectional study

1. Dafni Souli
2. Maddalena Dilucca

Reviewed by ScreenIT

A scientometric overview of CORD-19

1. Giovanni Colavizza
2. Rodrigo Costas
3. Vincent A. Traag
4. Nees Jan van Eck
5. Thed van Leeuwen
6. Ludo Waltman

Reviewed by ScreenIT

Pandemic publishing: Medical journals strongly speed up their publication process for COVID-19

1. Serge P. J. M. Horbach

Reviewed by ScreenIT

BIP4COVID19: Releasing impact measures for articles relevant to COVID-19

1. Thanasis Vergoulis
2. Ilias Kanellos
3. Serafeim Chatzopoulos
4. Danae Pla Karidi
5. Theodore Dalamagas

Reviewed by ScreenIT

Life-course social disparities in body mass index trajectories across adulthood: cohort study evidence from China health and nutrition survey

1. Yusong Dang
2. Xinyu Duan
3. Peixi Rong
4. Mingxin Yan
5. Yaling Zhao
6. Baibing Mi
7. Jing Zhou
8. Yulong Chen
9. Duolao Wang
10. Leilei Pei

• Curated by eLife

  eLife assessment

  This work shows that higher socioeconomic status is associated with a higher risk of obesity, which should inform China's obesity public health programs and policies, and also be of interest to other countries and communities. The evidence supporting the conclusions is strong, but the data analysis is incomplete and would benefit from more rigorous approaches.

Reviewed by eLife