Report for: Secondary Analysis of Electronic Health Records

Title	Secondary Analysis of Electronic Health Records
Published by	Springer International Publishing, January 2016
DOI	10.1007/978-3-319-43742-2
ISBNs	978-3-31-943740-8, 978-3-31-943742-2
Authors	MIT Critical Data, MIT Critical Data, MIT Critical Data,

X Demographics

The data shown below were collected from the profiles of 99 X users who shared this research output. Click here to find out more about how the information was compiled.

Type	Count	As %
Members of the public	66	67%
Practitioners (doctors, other healthcare professionals)	14	14%
Scientists	14	14%
Science communicators (journalists, bloggers, editors)	4	4%
Unknown	1	1%

Mendeley readers

The data shown below were compiled from readership statistics for 884 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Readers by professional status	Count	As %
Student > Master	133	15%
Student > Ph. D. Student	119	13%
Researcher	81	9%
Student > Bachelor	80	9%
Student > Doctoral Student	49	6%
Other	139	16%
Unknown	283	32%

Readers by discipline	Count	As %
Computer Science	127	14%
Engineering	108	12%
Medicine and Dentistry	91	10%
Social Sciences	29	3%
Business, Management and Accounting	29	3%
Other	185	21%
Unknown	315	36%

Secondary Analysis of Electronic Health Records