| Title |
A BioBrick compatible strategy for genetic modification of plants
|
|---|---|
| Published in |
Journal of Biological Engineering, December 2012
|
| DOI | 10.1186/1754-1611-6-8 |
| Pubmed ID | |
| Authors |
Patrick M Boyle, Devin R Burrill, Mara C Inniss, Christina M Agapakis, Aaron Deardon, Jonathan G DeWerd, Michael A Gedeon, Jacqueline Y Quinn, Morgan L Paull, Anugraha M Raman, Mark R Theilmann, Lu Wang, Julia C Winn, Oliver Medvedik, Kurt Schellenberg, Karmella A Haynes, Alain Viel, Tamara J Brenner, George M Church, Jagesh V Shah, Pamela A Silver |
X Demographics
The data shown below were collected from the profiles of 16 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 | 5 | 31% |
| Germany | 2 | 13% |
| United Kingdom | 2 | 13% |
| Belgium | 1 | 6% |
| France | 1 | 6% |
| Unknown | 5 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 56% |
| Scientists | 6 | 38% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 5% |
| Germany | 1 | <1% |
| France | 1 | <1% |
| Italy | 1 | <1% |
| Brazil | 1 | <1% |
| Malaysia | 1 | <1% |
| Canada | 1 | <1% |
| United Kingdom | 1 | <1% |
| Greece | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 91 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 22% |
| Student > Bachelor | 19 | 18% |
| Student > Ph. D. Student | 18 | 17% |
| Student > Master | 11 | 10% |
| Professor | 8 | 8% |
| Other | 17 | 16% |
| Unknown | 9 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 47 | 45% |
| Biochemistry, Genetics and Molecular Biology | 19 | 18% |
| Engineering | 12 | 11% |
| Social Sciences | 6 | 6% |
| Computer Science | 2 | 2% |
| Other | 9 | 9% |
| Unknown | 10 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 March 2019.
All research outputs
#1,375,059
of 22,668,244 outputs
Outputs from Journal of Biological Engineering
#19
of 258 outputs
Outputs of similar age
#12,539
of 277,120 outputs
Outputs of similar age from Journal of Biological Engineering
#3
of 24 outputs
Altmetric has tracked 22,668,244 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 258 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has done particularly well, scoring higher than 92% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 277,120 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.