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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification, expression and interaction analyses of calcium-dependent protein kinase (CPK) genes in canola (Brassica napusL.)
|
|---|---|
| Published in |
BMC Genomics, March 2014
|
| DOI | 10.1186/1471-2164-15-211 |
| Pubmed ID | |
| Authors |
Hanfeng Zhang, Wu-Zhen Liu, Yupeng Zhang, Min Deng, Fangfang Niu, Bo Yang, Xiaoling Wang, Boya Wang, Wanwan Liang, Michael K Deyholos, Yuan-Qing Jiang |
| Abstract |
Canola (Brassica napus L.) is one of the most important oil-producing crops in China and worldwide. The yield and quality of canola is frequently threatened by environmental stresses including drought, cold and high salinity. Calcium is a well-known ubiquitous intracellular secondary messenger in plants. Calcium-dependent protein kinases (CPKs) are Ser/Thr protein kinases found only in plants and some protozoans. CPKs are Ca2+ sensors that have both Ca2+ sensing function and kinase activity within a single protein and play crucial roles in plant development and responses to various environmental stresses. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Vietnam | 1 | 2% |
| Unknown | 64 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 26% |
| Student > Master | 9 | 14% |
| Researcher | 7 | 11% |
| Student > Bachelor | 4 | 6% |
| Professor | 4 | 6% |
| Other | 12 | 18% |
| Unknown | 12 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 34 | 52% |
| Biochemistry, Genetics and Molecular Biology | 10 | 15% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Chemical Engineering | 1 | 2% |
| Nursing and Health Professions | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 15 | 23% |
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 22 March 2014.
All research outputs
#20,226,756
of 22,751,628 outputs
Outputs from BMC Genomics
#9,262
of 10,636 outputs
Outputs of similar age
#191,521
of 223,393 outputs
Outputs of similar age from BMC Genomics
#124
of 144 outputs
Altmetric has tracked 22,751,628 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,636 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% 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 223,393 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 144 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.