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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Field evaluation of selected cassava genotypes for cassava brown streak disease based on symptom expression and virus load
|
|---|---|
| Published in |
Virology Journal, December 2014
|
| DOI | 10.1186/s12985-014-0216-x |
| Pubmed ID | |
| Authors |
Tadeo Kaweesi, Robert Kawuki, Vincent Kyaligonza, Yona Baguma, Geoffrey Tusiime, Morag E Ferguson |
| Abstract |
BackgroundProduction of cassava (Manihot esculenta Crantz), a food security crop in sub-Saharan Africa, is threatened by the spread of cassava brown streak disease (CBSD) which manifests in part as a corky necrosis in the storage root. It is caused by either of two virus species, Cass ava brown streak virus (CBSV) and Ugandan cassava brown streak virus (UCBSV), resulting in up to 100% yield loss in susceptible varieties.MethodsThis study characterized the response of 11 cassava varieties according to CBSD symptom expression and relative CBSV and UCBSV load in a field trial in Uganda. Relative viral load was measured using quantitative RT-PCR using COX as an internal housekeeping gene.ResultsA complex situation was revealed with indications of different resistance mechanisms that restrict virus accumulation and symptom expression. Four response categories were defined. Symptom expression was not always positively correlated with virus load. Substantially different levels of the virus species were found in many genotypes suggesting either resistance to one virus species or the other, or some form of interaction, antagonism or competition between virus species.ConclusionsA substantial amount of research still needs to be undertaken to fully understand the mechanism and genetic bases of resistance. This information will be useful in informing breeding strategies and restricting virus spread. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 1 | <1% |
| Nigeria | 1 | <1% |
| Unknown | 145 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 34 | 23% |
| Student > Ph. D. Student | 30 | 20% |
| Researcher | 25 | 17% |
| Student > Doctoral Student | 8 | 5% |
| Student > Bachelor | 8 | 5% |
| Other | 10 | 7% |
| Unknown | 32 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 89 | 61% |
| Biochemistry, Genetics and Molecular Biology | 11 | 7% |
| Medicine and Dentistry | 4 | 3% |
| Nursing and Health Professions | 1 | <1% |
| Computer Science | 1 | <1% |
| Other | 8 | 5% |
| Unknown | 33 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 13 October 2016.
All research outputs
#2,599,627
of 22,775,504 outputs
Outputs from Virology Journal
#228
of 3,040 outputs
Outputs of similar age
#38,131
of 353,184 outputs
Outputs of similar age from Virology Journal
#9
of 55 outputs
Altmetric has tracked 22,775,504 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,040 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.7. 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 353,184 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 89% of its contemporaries.
We're also able to compare this research output to 55 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.