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X Demographics
Mendeley readers
Attention Score in Context
| Title |
High throughput phenotyping for aphid resistance in large plant collections
|
|---|---|
| Published in |
Plant Methods, August 2012
|
| DOI | 10.1186/1746-4811-8-33 |
| Pubmed ID | |
| Authors |
Xi Chen, Ben Vosman, Richard GF Visser, René AA van der Vlugt, Colette Broekgaarden |
| Abstract |
Phloem-feeding insects are among the most devastating pests worldwide. They not only cause damage by feeding from the phloem, thereby depleting the plant from photo-assimilates, but also by vectoring viruses. Until now, the main way to prevent such problems is the frequent use of insecticides. Applying resistant varieties would be a more environmental friendly and sustainable solution. For this, resistant sources need to be identified first. Up to now there were no methods suitable for high throughput phenotyping of plant germplasm to identify sources of resistance towards phloem-feeding insects. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 2 | 2% |
| United States | 1 | 1% |
| India | 1 | 1% |
| Unknown | 80 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 26% |
| Student > Ph. D. Student | 21 | 25% |
| Student > Master | 8 | 10% |
| Professor > Associate Professor | 4 | 5% |
| Other | 3 | 4% |
| Other | 7 | 8% |
| Unknown | 19 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 56 | 67% |
| Environmental Science | 4 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 2% |
| Computer Science | 1 | 1% |
| Economics, Econometrics and Finance | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 20 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 19 August 2012.
All research outputs
#17,664,478
of 22,675,759 outputs
Outputs from Plant Methods
#892
of 1,072 outputs
Outputs of similar age
#125,027
of 169,174 outputs
Outputs of similar age from Plant Methods
#6
of 8 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,072 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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 169,174 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.