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Using Deep Learning in a Monocentric Study to Characterize Maternal Immune Environment for Predicting Pregnancy Outcomes in the Recurrent Reproductive Failure Patients

Overview of attention for article published in Frontiers in immunology, April 2021
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Title
Using Deep Learning in a Monocentric Study to Characterize Maternal Immune Environment for Predicting Pregnancy Outcomes in the Recurrent Reproductive Failure Patients
Published in
Frontiers in immunology, April 2021
DOI 10.3389/fimmu.2021.642167
Pubmed ID
Authors

Chunyu Huang, Zheng Xiang, Yongnu Zhang, Dao Shen Tan, Chun Kit Yip, Zhiqiang Liu, Yuye Li, Shuyi Yu, Lianghui Diao, Lap Yan Wong, Wai Lim Ling, Yong Zeng, Wenwei Tu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 7%
Student > Master 3 7%
Student > Ph. D. Student 3 7%
Student > Postgraduate 2 4%
Student > Doctoral Student 2 4%
Other 4 9%
Unknown 29 63%
Readers by discipline Count As %
Computer Science 4 9%
Biochemistry, Genetics and Molecular Biology 3 7%
Medicine and Dentistry 3 7%
Unspecified 1 2%
Linguistics 1 2%
Other 3 7%
Unknown 31 67%