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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genome-wide identification and analysis of the growth-regulating factor family in Chinese cabbage (Brassica rapa L. ssp. pekinensis)
|
|---|---|
| Published in |
BMC Genomics, September 2014
|
| DOI | 10.1186/1471-2164-15-807 |
| Pubmed ID | |
| Authors |
Fengde Wang, Nianwei Qiu, Qian Ding, Jingjuan Li, Yihui Zhang, Huayin Li, Jianwei Gao |
| Abstract |
Growth regulating factors (GRFs) have been shown to play important roles in plant growth and development. GRF genes represent a large multigene family in plants. Recently, genome-wide structural and evolutionary analyses of the GRF gene families in Arabidopsis, rice, and maize have been reported. Chinese cabbage (Brassica rapa L. ssp. pekinensis) is one of the most important vegetables for agricultural production, and a full genome assembly for this plant has recently been released. However, to our knowledge, the GRF gene family from Chinese cabbage has not been characterized in detail. |
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 % |
|---|---|---|
| Unknown | 3 | 100% |
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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 31% |
| Researcher | 4 | 10% |
| Student > Bachelor | 3 | 7% |
| Student > Master | 3 | 7% |
| Student > Doctoral Student | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 12 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 40% |
| Biochemistry, Genetics and Molecular Biology | 8 | 19% |
| Engineering | 2 | 5% |
| Medicine and Dentistry | 1 | 2% |
| Environmental Science | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 13 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 23 September 2014.
All research outputs
#14,177,108
of 24,707,218 outputs
Outputs from BMC Genomics
#4,838
of 11,048 outputs
Outputs of similar age
#119,260
of 256,985 outputs
Outputs of similar age from BMC Genomics
#73
of 204 outputs
Altmetric has tracked 24,707,218 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,048 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 54% 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 256,985 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 52% of its contemporaries.
We're also able to compare this research output to 204 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 63% of its contemporaries.