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X Demographics
Mendeley readers
Attention Score in Context
| Title |
In silico analysis of the core signaling proteome from the barley powdery mildew pathogen (Blumeria graminis f.sp. hordei)
|
|---|---|
| Published in |
BMC Genomics, October 2014
|
| DOI | 10.1186/1471-2164-15-843 |
| Pubmed ID | |
| Authors |
Stefan Kusch, Nahal Ahmadinejad, Ralph Panstruga, Hannah Kuhn |
| Abstract |
Compared to other ascomycetes, the barley powdery mildew pathogen Blumeria graminis f.sp. hordei (Bgh) has a large genome (ca. 120 Mbp) that harbors a relatively small number of protein-coding genes (ca. 6500). This genomic assemblage is thought to be the result of numerous gene losses, which likely represent an evolutionary adaptation to a parasitic lifestyle in close association with its host plant, barley (Hordeum vulgare). Approximately 8% of the Bgh genes are predicted to encode virulence effectors that are secreted into host tissue and/or cells to promote pathogenesis; the remaining proteome is largely uncharacterized at present. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 20% |
| United Kingdom | 1 | 20% |
| United States | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 80% |
| Members of the public | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| India | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 64 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 19% |
| Student > Bachelor | 12 | 18% |
| Researcher | 8 | 12% |
| Student > Master | 7 | 10% |
| Professor > Associate Professor | 6 | 9% |
| Other | 15 | 22% |
| Unknown | 6 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 41 | 61% |
| Biochemistry, Genetics and Molecular Biology | 8 | 12% |
| Engineering | 3 | 4% |
| Computer Science | 2 | 3% |
| Unspecified | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 12 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 16 October 2014.
All research outputs
#13,770,689
of 23,726,221 outputs
Outputs from BMC Genomics
#4,918
of 10,798 outputs
Outputs of similar age
#120,823
of 255,112 outputs
Outputs of similar age from BMC Genomics
#76
of 200 outputs
Altmetric has tracked 23,726,221 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,798 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 52% 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 255,112 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 51% of its contemporaries.
We're also able to compare this research output to 200 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.