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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The genetic mechanism of heterosis utilization in maize improvement
|
|---|---|
| Published in |
Genome Biology, May 2021
|
| DOI | 10.1186/s13059-021-02370-7 |
| Pubmed ID | |
| Authors |
Yingjie Xiao, Shuqin Jiang, Qian Cheng, Xiaqing Wang, Jun Yan, Ruyang Zhang, Feng Qiao, Chuang Ma, Jingyun Luo, Wenqiang Li, Haijun Liu, Wenyu Yang, Wenhao Song, Yijiang Meng, Marilyn L. Warburton, Jiuran Zhao, Xiangfeng Wang, Jianbing Yan |
X Demographics
The data shown below were collected from the profiles of 12 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 Kingdom | 4 | 33% |
| United States | 2 | 17% |
| Netherlands | 2 | 17% |
| Tanzania, United Republic of | 1 | 8% |
| Unknown | 3 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 58% |
| Scientists | 4 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 83 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 16% |
| Student > Master | 12 | 14% |
| Researcher | 8 | 10% |
| Student > Doctoral Student | 5 | 6% |
| Professor > Associate Professor | 3 | 4% |
| Other | 10 | 12% |
| Unknown | 32 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 38 | 46% |
| Biochemistry, Genetics and Molecular Biology | 6 | 7% |
| Social Sciences | 2 | 2% |
| Nursing and Health Professions | 1 | 1% |
| Computer Science | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 34 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 14 May 2021.
All research outputs
#5,343,131
of 25,387,668 outputs
Outputs from Genome Biology
#2,888
of 4,470 outputs
Outputs of similar age
#123,281
of 454,369 outputs
Outputs of similar age from Genome Biology
#87
of 98 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 35th percentile – i.e., 35% 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 454,369 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 72% of its contemporaries.
We're also able to compare this research output to 98 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.