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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Helitron distribution in Brassicaceae and whole Genome Helitron density as a character for distinguishing plant species
|
|---|---|
| Published in |
BMC Bioinformatics, June 2019
|
| DOI | 10.1186/s12859-019-2945-8 |
| Pubmed ID | |
| Authors |
Kaining Hu, Kai Xu, Jing Wen, Bin Yi, Jinxiong Shen, Chaozhi Ma, Tingdong Fu, Yidan Ouyang, Jinxing Tu |
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 % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 25% |
| Student > Ph. D. Student | 5 | 13% |
| Other | 4 | 10% |
| Student > Master | 4 | 10% |
| Student > Doctoral Student | 3 | 8% |
| Other | 8 | 20% |
| Unknown | 6 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 45% |
| Biochemistry, Genetics and Molecular Biology | 10 | 25% |
| Unspecified | 2 | 5% |
| Computer Science | 2 | 5% |
| Business, Management and Accounting | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 6 | 15% |
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 17 June 2020.
All research outputs
#15,330,390
of 23,567,572 outputs
Outputs from BMC Bioinformatics
#5,139
of 7,392 outputs
Outputs of similar age
#206,251
of 352,656 outputs
Outputs of similar age from BMC Bioinformatics
#113
of 162 outputs
Altmetric has tracked 23,567,572 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,392 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 26th percentile – i.e., 26% 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 352,656 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 162 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.