Title |
QTL analysis of nodule traits and the identification of loci interacting with the type III secretion system in soybean
|
---|---|
Published in |
Molecular Genetics and Genomics, April 2019
|
DOI | 10.1007/s00438-019-01553-z |
Pubmed ID | |
Authors |
Jingyi Zhu, Jinhui Wang, Qingying Li, Jieqi Wang, Yang Liu, Jianyi Li, Lin Chen, Yan Shi, Shuping Li, Yongqian Zhang, Xueying Liu, Chao Ma, Hanxi Liu, Yingnan Wen, Zhijun Sun, Huilin Chang, Nannan Wang, Candong Li, Zhengong Yin, Zhenbang Hu, Xiaoxia Wu, Hongwei Jiang, Chunyan Liu, Zhaoming Qi, Qingshan Chen, Dawei Xin |
X Demographics
The data shown below were collected from the profiles of 2 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 | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 16 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 19% |
Researcher | 3 | 19% |
Professor > Associate Professor | 2 | 13% |
Student > Master | 2 | 13% |
Student > Doctoral Student | 1 | 6% |
Other | 1 | 6% |
Unknown | 4 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 8 | 50% |
Biochemistry, Genetics and Molecular Biology | 2 | 13% |
Computer Science | 1 | 6% |
Psychology | 1 | 6% |
Unknown | 4 | 25% |
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 15 April 2019.
All research outputs
#19,954,338
of 25,385,509 outputs
Outputs from Molecular Genetics and Genomics
#2,886
of 3,321 outputs
Outputs of similar age
#265,596
of 366,166 outputs
Outputs of similar age from Molecular Genetics and Genomics
#14
of 29 outputs
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So far Altmetric has tracked 3,321 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 10th percentile – i.e., 10% 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 366,166 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.