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
Attention Score in Context
| Title |
Genetic basis and detection of unintended effects in genetically modified crop plants
|
|---|---|
| Published in |
Transgenic Research, February 2015
|
| DOI | 10.1007/s11248-015-9867-7 |
| Pubmed ID | |
| Authors |
Gregory S. Ladics, Andrew Bartholomaeus, Phil Bregitzer, Nancy G. Doerrer, Alan Gray, Thomas Holzhauser, Mark Jordan, Paul Keese, Esther Kok, Phil Macdonald, Wayne Parrott, Laura Privalle, Alan Raybould, Seung Yon Rhee, Elena Rice, Jörg Romeis, Justin Vaughn, Jean-Michel Wal, Kevin Glenn |
| Abstract |
In January 2014, an international meeting sponsored by the International Life Sciences Institute/Health and Environmental Sciences Institute and the Canadian Food Inspection Agency titled "Genetic Basis of Unintended Effects in Modified Plants" was held in Ottawa, Canada, bringing together over 75 scientists from academia, government, and the agro-biotech industry. The objectives of the meeting were to explore current knowledge and identify areas requiring further study on unintended effects in plants and to discuss how this information can inform and improve genetically modified (GM) crop risk assessments. The meeting featured presentations on the molecular basis of plant genome variability in general, unintended changes at the molecular and phenotypic levels, and the development and use of hypothesis-driven evaluations of unintended effects in assessing conventional and GM crops. The development and role of emerging "omics" technologies in the assessment of unintended effects was also discussed. Several themes recurred in a number of talks; for example, a common observation was that no system for genetic modification, including conventional methods of plant breeding, is without unintended effects. Another common observation was that "unintended" does not necessarily mean "harmful". This paper summarizes key points from the information presented at the meeting to provide readers with current viewpoints on these topics. |
X Demographics
The data shown below were collected from the profiles of 23 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 | 13 | 57% |
| United Kingdom | 2 | 9% |
| Canada | 1 | 4% |
| Chile | 1 | 4% |
| Unknown | 6 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 52% |
| Scientists | 9 | 39% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 190 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | <1% |
| Italy | 1 | <1% |
| Peru | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 185 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 39 | 21% |
| Researcher | 35 | 18% |
| Student > Master | 27 | 14% |
| Student > Ph. D. Student | 17 | 9% |
| Other | 10 | 5% |
| Other | 22 | 12% |
| Unknown | 40 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 86 | 45% |
| Biochemistry, Genetics and Molecular Biology | 23 | 12% |
| Environmental Science | 5 | 3% |
| Engineering | 5 | 3% |
| Medicine and Dentistry | 4 | 2% |
| Other | 26 | 14% |
| Unknown | 41 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 29 August 2023.
All research outputs
#2,133,605
of 25,369,304 outputs
Outputs from Transgenic Research
#55
of 946 outputs
Outputs of similar age
#26,193
of 269,997 outputs
Outputs of similar age from Transgenic Research
#2
of 5 outputs
Altmetric has tracked 25,369,304 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 946 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has done particularly well, scoring higher than 94% 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 269,997 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 90% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.