You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Title |
Algorithms for Next-Generation Sequencing Data
|
---|---|
Published by |
Springer International Publishing, January 2017
|
DOI | 10.1007/978-3-319-59826-0 |
ISBNs |
978-3-31-959826-0, 978-3-31-959824-6
|
Editors |
Mourad Elloumi |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 17% |
India | 1 | 17% |
China | 1 | 17% |
United Kingdom | 1 | 17% |
Unknown | 2 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 83% |
Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 24 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 29% |
Researcher | 7 | 29% |
Student > Master | 3 | 13% |
Professor | 1 | 4% |
Other | 1 | 4% |
Other | 1 | 4% |
Unknown | 4 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 7 | 29% |
Agricultural and Biological Sciences | 4 | 17% |
Engineering | 2 | 8% |
Business, Management and Accounting | 1 | 4% |
Chemical Engineering | 1 | 4% |
Other | 4 | 17% |
Unknown | 5 | 21% |