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Mendeley readers
Attention Score in Context
| Title |
Automated video tracking of thrips behavior to assess host-plant resistance in multiple parallel two-choice setups
|
|---|---|
| Published in |
Plant Methods, January 2016
|
| DOI | 10.1186/s13007-016-0102-1 |
| Pubmed ID | |
| Authors |
Manus P. M. Thoen, Karen J. Kloth, Gerrie L. Wiegers, Olga E. Krips, Lucas P. J. J. Noldus, Marcel Dicke, Maarten A. Jongsma |
| Abstract |
Piercing-sucking insects cause severe damage in crops. Breeding for host-plant resistance can significantly reduce the yield losses caused by these insects, but host-plant resistance is a complex trait that is difficult to phenotype quickly and reliably. Current phenotyping methods mainly focus on labor-intensive and time-consuming end-point measurements of plant fitness. Characterizing insect behavior as a proxy for host-plant resistance could be a promising time-saving alternative to end-point measurements. We present a phenotyping platform that allows screening for host-plant resistance against Western flower thrips (WFT, Frankliniella occidentalis (Pergande)) in a parallel two-choice setup using automated video tracking of thrips behavior. The platform was used to establish host-plant preference of WFT with a large plant population of 345 wild Arabidopsis accessions and the method was optimized with two extreme accessions from this population that differed in resistance towards WFT. To this end, the behavior of 88 WFT individuals was simultaneously tracked in 88 parallel two-choice arenas during 8 h. Host-plant preference of WFT was established both by the time thrips spent on either accession and various behavioral parameters related to movement (searching) and non-movement (feeding) events. In comparison to 6-day end-point choice assays with whole plants or detached leaves, the automated video-tracking choice assay developed here delivered similar results, but with higher time- and resource efficiency. This method can therefore be a reliable and effective high throughput phenotyping tool to assess host-plant resistance to thrips in large plant populations. |
X Demographics
The data shown below were collected from the profiles of 8 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 | 3 | 38% |
| Sweden | 1 | 13% |
| India | 1 | 13% |
| Turkey | 1 | 13% |
| France | 1 | 13% |
| Unknown | 1 | 13% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 50% |
| Scientists | 2 | 25% |
| Science communicators (journalists, bloggers, editors) | 2 | 25% |
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 % |
|---|---|---|
| Japan | 1 | 1% |
| United Kingdom | 1 | 1% |
| Netherlands | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 80 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 21% |
| Researcher | 17 | 20% |
| Student > Master | 12 | 14% |
| Student > Bachelor | 10 | 12% |
| Student > Doctoral Student | 2 | 2% |
| Other | 7 | 8% |
| Unknown | 18 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 49 | 58% |
| Biochemistry, Genetics and Molecular Biology | 6 | 7% |
| Computer Science | 3 | 4% |
| Environmental Science | 2 | 2% |
| Engineering | 2 | 2% |
| Other | 3 | 4% |
| Unknown | 19 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 24 January 2016.
All research outputs
#4,426,586
of 22,840,638 outputs
Outputs from Plant Methods
#241
of 1,082 outputs
Outputs of similar age
#78,663
of 393,708 outputs
Outputs of similar age from Plant Methods
#8
of 21 outputs
Altmetric has tracked 22,840,638 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,082 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 done well, scoring higher than 77% 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 393,708 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.