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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Quantitative trait loci-dependent analysis of a gene co-expression network associated with Fusarium head blight resistance in bread wheat (Triticum aestivumL.)
|
|---|---|
| Published in |
BMC Genomics, October 2013
|
| DOI | 10.1186/1471-2164-14-728 |
| Pubmed ID | |
| Authors |
Karl G Kugler, Gerald Siegwart, Thomas Nussbaumer, Christian Ametz, Manuel Spannagl, Barbara Steiner, Marc Lemmens, Klaus FX Mayer, Hermann Buerstmayr, Wolfgang Schweiger |
| Abstract |
Fusarium head blight (FHB) caused by Fusarium graminearum Schwabe is one of the most prevalent diseases of wheat (Triticum aestivum L.) and other small grain cereals. Resistance against the fungus is quantitative and more than 100 quantitative trait loci (QTL) have been described. Two well-validated and highly reproducible QTL, Fhb1 and Qfhs.ifa-5A have been widely investigated, but to date the underlying genes have not been identified. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 2% |
| Ethiopia | 1 | <1% |
| France | 1 | <1% |
| Australia | 1 | <1% |
| Sweden | 1 | <1% |
| United Kingdom | 1 | <1% |
| Japan | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 118 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 34 | 27% |
| Student > Ph. D. Student | 33 | 26% |
| Student > Master | 17 | 13% |
| Student > Doctoral Student | 8 | 6% |
| Student > Postgraduate | 7 | 6% |
| Other | 17 | 13% |
| Unknown | 11 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 87 | 69% |
| Biochemistry, Genetics and Molecular Biology | 17 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | <1% |
| Mathematics | 1 | <1% |
| Nursing and Health Professions | 1 | <1% |
| Other | 6 | 5% |
| Unknown | 14 | 11% |
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 23 October 2013.
All research outputs
#20,207,295
of 22,727,570 outputs
Outputs from BMC Genomics
#9,254
of 10,628 outputs
Outputs of similar age
#184,863
of 211,997 outputs
Outputs of similar age from BMC Genomics
#114
of 152 outputs
Altmetric has tracked 22,727,570 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,628 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% 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 211,997 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 152 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.