| Title |
Causes and consequences of crossing-over evidenced via a high-resolution recombinational landscape of the honey bee
|
|---|---|
| Published in |
Genome Biology, January 2015
|
| DOI | 10.1186/s13059-014-0566-0 |
| Pubmed ID | |
| Authors |
Haoxuan Liu, Xiaohui Zhang, Ju Huang, Jian-Qun Chen, Dacheng Tian, Laurence D Hurst, Sihai Yang |
X Demographics
The data shown below were collected from the profiles of 17 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 | 3 | 18% |
| United States | 3 | 18% |
| Dominican Republic | 1 | 6% |
| Canada | 1 | 6% |
| Korea, Republic of | 1 | 6% |
| Unknown | 8 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 53% |
| Scientists | 7 | 41% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Netherlands | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 75 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 31% |
| Researcher | 13 | 17% |
| Student > Bachelor | 8 | 10% |
| Student > Master | 7 | 9% |
| Lecturer | 3 | 4% |
| Other | 8 | 10% |
| Unknown | 15 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 33 | 42% |
| Biochemistry, Genetics and Molecular Biology | 20 | 26% |
| Computer Science | 2 | 3% |
| Environmental Science | 1 | 1% |
| Mathematics | 1 | 1% |
| Other | 4 | 5% |
| Unknown | 17 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 28 March 2024.
All research outputs
#3,233,022
of 25,587,485 outputs
Outputs from Genome Biology
#2,342
of 4,492 outputs
Outputs of similar age
#42,450
of 360,302 outputs
Outputs of similar age from Genome Biology
#61
of 96 outputs
Altmetric has tracked 25,587,485 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,492 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 47th percentile – i.e., 47% 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 360,302 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 96 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.