| Title |
Application of direct PCR in rapid rDNA ITS haplotype determination of the hyperparasitic fungus Sphaeropsis visci (Botryosphaeriaceae)
|
|---|---|
| Published in |
SpringerPlus, September 2014
|
| DOI | 10.1186/2193-1801-3-569 |
| Pubmed ID | |
| Authors |
Ildikó Varga, Péter Poczai, István Cernák, Jaakko Hyvönen |
| Abstract |
The plant pathogenic fungus, Sphaeropsis visci a dark-spored species of Botryosphaeriaceae, which causes the leaf spot disease of the European mistletoe (Viscum album). This species seems to have potential as a tool for biological control of the hemiparasite. For the rapid detection of S. visci haplotypes we tested a direct PCR assay without prior DNA purification. This approach was based on a polymerase enzyme from the crenarchaeon Sulfolobus solfataricus engineered by fusion protein technology, which linked the polymerase domain to a sequence non-specific DNA binding protein (Sso7d). |
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 % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 32% |
| Student > Bachelor | 2 | 11% |
| Professor > Associate Professor | 2 | 11% |
| Professor | 1 | 5% |
| Student > Master | 1 | 5% |
| Other | 3 | 16% |
| Unknown | 4 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 42% |
| Biochemistry, Genetics and Molecular Biology | 2 | 11% |
| Engineering | 2 | 11% |
| Computer Science | 1 | 5% |
| Chemistry | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 4 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 25 September 2023.
All research outputs
#6,743,394
of 24,496,759 outputs
Outputs from SpringerPlus
#382
of 1,861 outputs
Outputs of similar age
#67,034
of 257,828 outputs
Outputs of similar age from SpringerPlus
#21
of 105 outputs
Altmetric has tracked 24,496,759 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,861 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done well, scoring higher than 79% 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 257,828 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 73% of its contemporaries.
We're also able to compare this research output to 105 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.