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 |
Sequence and annotation of 42 cannabis genomes reveals extensive copy number variation in cannabinoid synthesis and pathogen resistance genes
|
|---|---|
| Published in |
bioRxiv, January 2020
|
| DOI | 10.1101/2020.01.03.894428 |
| Authors |
Kevin J. McKernan, Yvonne Helbert, Liam T. Kane, Heather Ebling, Lei Zhang, Biao Liu, Zachary Eaton, Stephen McLaughlin, Sarah Kingan, Primo Baybayan, Gregory Concepcion, Mark Jordan, Alberto Riva, William Barbazuk, Timothy Harkins |
X Demographics
The data shown below were collected from the profiles of 237 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 50 | 21% |
| United Kingdom | 14 | 6% |
| Canada | 13 | 5% |
| France | 6 | 3% |
| Australia | 5 | 2% |
| Netherlands | 5 | 2% |
| Spain | 5 | 2% |
| Colombia | 4 | 2% |
| Japan | 2 | <1% |
| Other | 20 | 8% |
| Unknown | 113 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 169 | 71% |
| Scientists | 62 | 26% |
| Practitioners (doctors, other healthcare professionals) | 4 | 2% |
| Science communicators (journalists, bloggers, editors) | 2 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 170 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 170 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 36 | 21% |
| Student > Master | 25 | 15% |
| Student > Bachelor | 20 | 12% |
| Student > Ph. D. Student | 13 | 8% |
| Student > Doctoral Student | 10 | 6% |
| Other | 16 | 9% |
| Unknown | 50 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 74 | 44% |
| Biochemistry, Genetics and Molecular Biology | 33 | 19% |
| Chemistry | 3 | 2% |
| Environmental Science | 2 | 1% |
| Computer Science | 2 | 1% |
| Other | 4 | 2% |
| Unknown | 52 | 31% |