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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genome-wide analysis of NBS-encoding disease resistance genes in Cucumis sativusand phylogenetic study of NBS-encoding genes in Cucurbitaceae crops
|
|---|---|
| Published in |
BMC Genomics, February 2013
|
| DOI | 10.1186/1471-2164-14-109 |
| Pubmed ID | |
| Authors |
Hongjian Wan, Wei Yuan, Kailiang Bo, Jia Shen, Xin Pang, Jinfeng Chen |
| Abstract |
Plant nucleotide-binding site (NBS)-leucine-rich repeat (LRR) proteins encoded by resistance genes play an important role in the responses of plants to various pathogens, including viruses, bacteria, fungi, and nematodes. In this study, a comprehensive analysis of NBS-encoding genes within the whole cucumber genome was performed, and the phylogenetic relationships of NBS-encoding resistance gene homologues (RGHs) belonging to six species in five genera of Cucurbitaceae crops were compared. |
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 % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| Gambia | 1 | 1% |
| Belgium | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 93 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 27 | 27% |
| Researcher | 17 | 17% |
| Student > Master | 17 | 17% |
| Professor > Associate Professor | 6 | 6% |
| Student > Bachelor | 4 | 4% |
| Other | 15 | 15% |
| Unknown | 13 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 67 | 68% |
| Biochemistry, Genetics and Molecular Biology | 13 | 13% |
| Nursing and Health Professions | 1 | 1% |
| Unspecified | 1 | 1% |
| Computer Science | 1 | 1% |
| Other | 3 | 3% |
| Unknown | 13 | 13% |
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 12 March 2013.
All research outputs
#15,708,439
of 23,340,595 outputs
Outputs from BMC Genomics
#6,777
of 10,745 outputs
Outputs of similar age
#123,013
of 194,507 outputs
Outputs of similar age from BMC Genomics
#73
of 122 outputs
Altmetric has tracked 23,340,595 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,745 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 28th percentile – i.e., 28% 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 194,507 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 122 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.