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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Integration of conventional and advanced molecular tools to track footprints of heterosis in cotton
|
|---|---|
| Published in |
BMC Genomics, October 2018
|
| DOI | 10.1186/s12864-018-5129-4 |
| Pubmed ID | |
| Authors |
Zareen Sarfraz, Muhammad Shahid Iqbal, Zhaoe Pan, Yinhua Jia, Shoupu He, Qinglian Wang, Hongde Qin, Jinhai Liu, Hui Liu, Jun Yang, Zhiying Ma, Dongyong Xu, Jinlong Yang, Jinbiao Zhang, Wenfang Gong, Xiaoli Geng, Zhikun Li, Zhongmin Cai, Xuelin Zhang, Xin Zhang, Aifen Huang, Xianda Yi, Guanyin Zhou, Lin Li, Haiyong Zhu, Yujie Qu, Baoyin Pang, Liru Wang, Muhammad Sajid Iqbal, Muhammad Jamshed, Junling Sun, Xiongming Du |
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 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 % |
|---|---|---|
| Researcher | 3 | 19% |
| Student > Ph. D. Student | 3 | 19% |
| Student > Doctoral Student | 2 | 13% |
| Professor > Associate Professor | 2 | 13% |
| Unspecified | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 5 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 38% |
| Social Sciences | 2 | 13% |
| Unspecified | 1 | 6% |
| Medicine and Dentistry | 1 | 6% |
| Design | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 5 | 31% |
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 03 November 2018.
All research outputs
#18,698,279
of 23,173,635 outputs
Outputs from BMC Genomics
#8,219
of 10,715 outputs
Outputs of similar age
#268,923
of 350,996 outputs
Outputs of similar age from BMC Genomics
#140
of 210 outputs
Altmetric has tracked 23,173,635 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,715 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% 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 350,996 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 210 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.