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X Demographics
Mendeley readers
Attention Score in Context
| Title |
AGROBEST: an efficient Agrobacterium-mediated transient expression method for versatile gene function analyses in Arabidopsis seedlings
|
|---|---|
| Published in |
Plant Methods, June 2014
|
| DOI | 10.1186/1746-4811-10-19 |
| Pubmed ID | |
| Authors |
Hung-Yi Wu, Kun-Hsiang Liu, Yi-Chieh Wang, Jing-Fen Wu, Wan-Ling Chiu, Chao-Ying Chen, Shu-Hsing Wu, Jen Sheen, Erh-Min Lai |
| Abstract |
Transient gene expression via Agrobacterium-mediated DNA transfer offers a simple and fast method to analyze transgene functions. Although Arabidopsis is the most-studied model plant with powerful genetic and genomic resources, achieving highly efficient and consistent transient expression for gene function analysis in Arabidopsis remains challenging. |
X Demographics
The data shown below were collected from the profiles of 5 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 Kingdom | 2 | 40% |
| Russia | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 40% |
| Members of the public | 2 | 40% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 510 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | <1% |
| United States | 2 | <1% |
| Switzerland | 1 | <1% |
| Italy | 1 | <1% |
| Czechia | 1 | <1% |
| New Zealand | 1 | <1% |
| Iran, Islamic Republic of | 1 | <1% |
| India | 1 | <1% |
| Spain | 1 | <1% |
| Other | 3 | <1% |
| Unknown | 496 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 111 | 22% |
| Researcher | 97 | 19% |
| Student > Master | 59 | 12% |
| Student > Bachelor | 57 | 11% |
| Student > Doctoral Student | 23 | 5% |
| Other | 67 | 13% |
| Unknown | 96 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 271 | 53% |
| Biochemistry, Genetics and Molecular Biology | 112 | 22% |
| Medicine and Dentistry | 4 | <1% |
| Nursing and Health Professions | 2 | <1% |
| Computer Science | 2 | <1% |
| Other | 14 | 3% |
| Unknown | 105 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 23 September 2016.
All research outputs
#7,888,453
of 25,245,273 outputs
Outputs from Plant Methods
#501
of 1,243 outputs
Outputs of similar age
#69,962
of 234,909 outputs
Outputs of similar age from Plant Methods
#3
of 12 outputs
Altmetric has tracked 25,245,273 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,243 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has gotten more attention than average, scoring higher than 58% 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 234,909 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.