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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Cell-specific clock-controlled gene expression program regulates rhythmic fiber cell growth in cotton
|
|---|---|
| Published in |
Genome Biology, March 2023
|
| DOI | 10.1186/s13059-023-02886-0 |
| Pubmed ID | |
| Authors |
Dehe Wang, Xiao Hu, Hanzhe Ye, Yue Wang, Qian Yang, Xiaodong Liang, Zilin Wang, Yifan Zhou, Miaomiao Wen, Xueyan Yuan, Xiaomin Zheng, Wen Ye, Boyu Guo, Mayila Yusuyin, Eugenia Russinova, Yu Zhou, Kun Wang |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 3 | 43% |
| United States | 1 | 14% |
| Sweden | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Scientists | 2 | 29% |
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 > Master | 2 | 13% |
| Other | 1 | 6% |
| Student > Doctoral Student | 1 | 6% |
| Student > Ph. D. Student | 1 | 6% |
| Other | 3 | 19% |
| Unknown | 5 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 31% |
| Biochemistry, Genetics and Molecular Biology | 3 | 19% |
| Computer Science | 1 | 6% |
| Unspecified | 1 | 6% |
| Unknown | 6 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 2023.
All research outputs
#2,532,310
of 25,394,764 outputs
Outputs from Genome Biology
#2,031
of 4,470 outputs
Outputs of similar age
#50,529
of 426,508 outputs
Outputs of similar age from Genome Biology
#39
of 75 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% 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 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 426,508 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.