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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Interspecific and host-related gene expression patterns in nematode-trapping fungi
|
|---|---|
| Published in |
BMC Genomics, November 2014
|
| DOI | 10.1186/1471-2164-15-968 |
| Pubmed ID | |
| Authors |
Karl-Magnus Andersson, Dharmendra Kumar, Johan Bentzer, Eva Friman, Dag Ahrén, Anders Tunlid |
| Abstract |
Nematode-trapping fungi are soil-living fungi that capture and kill nematodes using special hyphal structures called traps. They display a large diversity of trapping mechanisms and differ in their host preferences. To provide insights into the genetic basis for this variation, we compared the transcriptome expressed by three species of nematode-trapping fungi (Arthrobotrys oligospora, Monacrosporium cionopagum and Arthrobotrys dactyloides, which use adhesive nets, adhesive branches or constricting rings, respectively, to trap nematodes) during infection of two different plant-pathogenic nematode hosts (the root knot nematode Meloidogyne hapla and the sugar beet cyst nematode Heterodera schachtii). |
X Demographics
The data shown below were collected from the profiles of 6 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 | 17% |
| United States | 1 | 17% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Scientists | 2 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| South Africa | 1 | 2% |
| Unknown | 54 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 22% |
| Researcher | 11 | 20% |
| Student > Master | 8 | 15% |
| Student > Bachelor | 5 | 9% |
| Lecturer > Senior Lecturer | 3 | 5% |
| Other | 2 | 4% |
| Unknown | 14 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 36% |
| Biochemistry, Genetics and Molecular Biology | 9 | 16% |
| Medicine and Dentistry | 3 | 5% |
| Veterinary Science and Veterinary Medicine | 2 | 4% |
| Nursing and Health Professions | 2 | 4% |
| Other | 4 | 7% |
| Unknown | 15 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 15 January 2019.
All research outputs
#5,530,888
of 22,770,070 outputs
Outputs from BMC Genomics
#2,227
of 10,639 outputs
Outputs of similar age
#60,142
of 258,972 outputs
Outputs of similar age from BMC Genomics
#51
of 287 outputs
Altmetric has tracked 22,770,070 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,639 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 78% 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 258,972 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 76% of its contemporaries.
We're also able to compare this research output to 287 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.