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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genome-wide comparative analysis of NBS-encoding genes between Brassica species and Arabidopsis thaliana
|
|---|---|
| Published in |
BMC Genomics, January 2014
|
| DOI | 10.1186/1471-2164-15-3 |
| Pubmed ID | |
| Authors |
Jingyin Yu, Sadia Tehrim, Fengqi Zhang, Chaobo Tong, Junyan Huang, Xiaohui Cheng, Caihua Dong, Yanqiu Zhou, Rui Qin, Wei Hua, Shengyi Liu |
| Abstract |
Plant disease resistance (R) genes with the nucleotide binding site (NBS) play an important role in offering resistance to pathogens. The availability of complete genome sequences of Brassica oleracea and Brassica rapa provides an important opportunity for researchers to identify and characterize NBS-encoding R genes in Brassica species and to compare with analogues in Arabidopsis thaliana based on a comparative genomics approach. However, little is known about the evolutionary fate of NBS-encoding genes in the Brassica lineage after split from A. thaliana. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| Netherlands | 1 | <1% |
| Ethiopia | 1 | <1% |
| Italy | 1 | <1% |
| Australia | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 119 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 23% |
| Researcher | 26 | 21% |
| Student > Master | 14 | 11% |
| Professor > Associate Professor | 8 | 6% |
| Student > Postgraduate | 7 | 6% |
| Other | 20 | 16% |
| Unknown | 21 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 80 | 64% |
| Biochemistry, Genetics and Molecular Biology | 16 | 13% |
| Arts and Humanities | 2 | 2% |
| Computer Science | 1 | <1% |
| Engineering | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 25 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 18 December 2014.
All research outputs
#13,905,689
of 22,738,543 outputs
Outputs from BMC Genomics
#5,330
of 10,630 outputs
Outputs of similar age
#169,777
of 304,525 outputs
Outputs of similar age from BMC Genomics
#223
of 446 outputs
Altmetric has tracked 22,738,543 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,630 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 46th percentile – i.e., 46% 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 304,525 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 446 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.