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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MITEs in the promoters of effector genes allow prediction of novel virulence genes in Fusarium oxysporum
|
|---|---|
| Published in |
BMC Genomics, February 2013
|
| DOI | 10.1186/1471-2164-14-119 |
| Pubmed ID | |
| Authors |
Sarah M Schmidt, Petra M Houterman, Ines Schreiver, Lisong Ma, Stefan Amyotte, Biju Chellappan, Sjef Boeren, Frank L W Takken, Martijn Rep |
| Abstract |
The plant-pathogenic fungus Fusarium oxysporum f.sp.lycopersici (Fol) has accessory, lineage-specific (LS) chromosomes that can be transferred horizontally between strains. A single LS chromosome in the Fol4287 reference strain harbors all known Fol effector genes. Transfer of this pathogenicity chromosome confers virulence to a previously non-pathogenic recipient strain. We hypothesize that expression and evolution of effector genes is influenced by their genomic context. |
X Demographics
The data shown below were collected from the profiles of 7 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 States | 3 | 43% |
| Australia | 1 | 14% |
| Canada | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 86% |
| Members of the public | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 216 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 1% |
| Australia | 2 | <1% |
| Netherlands | 2 | <1% |
| Brazil | 2 | <1% |
| Mexico | 1 | <1% |
| Unknown | 206 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 48 | 22% |
| Student > Ph. D. Student | 42 | 19% |
| Student > Master | 28 | 13% |
| Student > Doctoral Student | 19 | 9% |
| Student > Bachelor | 18 | 8% |
| Other | 28 | 13% |
| Unknown | 33 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 133 | 62% |
| Biochemistry, Genetics and Molecular Biology | 31 | 14% |
| Engineering | 4 | 2% |
| Computer Science | 3 | 1% |
| Unspecified | 2 | <1% |
| Other | 6 | 3% |
| Unknown | 37 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 02 August 2020.
All research outputs
#7,912,782
of 24,508,104 outputs
Outputs from BMC Genomics
#3,615
of 10,999 outputs
Outputs of similar age
#63,973
of 196,898 outputs
Outputs of similar age from BMC Genomics
#45
of 124 outputs
Altmetric has tracked 24,508,104 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 10,999 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 65% 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 196,898 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 66% of its contemporaries.
We're also able to compare this research output to 124 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 64% of its contemporaries.