| Title |
GeneWeld: a method for efficient targeted integration directed by short homology
|
|---|---|
| Published in |
bioRxiv, October 2018
|
| DOI | 10.1101/431627 |
| Authors |
Wesley A. Wierson, Jordan M. Welker, Maira P. Almeida, Carla M. Mann, Dennis A. Webster, Melanie E. Torrie, Trevor J. Weiss, Macy K. Vollbrecht, Merrina Lan, Kenna C. McKeighan, Jacklyn Levey, Zhitao Ming, Alec Wehmeier, Christopher S. Mikelson, Jeffrey A. Haltom, Kristen M. Kwan, Chi-Bin Chien, Darius Balciunas, Stephen C. Ekker, Karl J. Clark, Beau R. Webber, Branden Moriarity, Staci L. Solin, Daniel F. Carlson, Drena L. Dobbs, Maura McGrail, Jeffrey J. Essner |
X Demographics
The data shown below were collected from the profiles of 64 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 | 24 | 38% |
| United Kingdom | 7 | 11% |
| Germany | 2 | 3% |
| Austria | 1 | 2% |
| Canada | 1 | 2% |
| Singapore | 1 | 2% |
| Poland | 1 | 2% |
| India | 1 | 2% |
| Australia | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 25 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 37 | 58% |
| Scientists | 25 | 39% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 101 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 26 | 26% |
| Student > Ph. D. Student | 20 | 20% |
| Student > Bachelor | 11 | 11% |
| Student > Master | 10 | 10% |
| Student > Postgraduate | 5 | 5% |
| Other | 16 | 16% |
| Unknown | 13 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 49 | 49% |
| Agricultural and Biological Sciences | 20 | 20% |
| Neuroscience | 7 | 7% |
| Immunology and Microbiology | 2 | 2% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 2% |
| Other | 7 | 7% |
| Unknown | 14 | 14% |