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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Efficient COI barcoding using high throughput single-end 400 bp sequencing
|
|---|---|
| Published in |
BMC Genomics, December 2020
|
| DOI | 10.1186/s12864-020-07255-w |
| Pubmed ID | |
| Authors |
Chentao Yang, Yuxuan Zheng, Shangjin Tan, Guanliang Meng, Wei Rao, Caiqing Yang, David G. Bourne, Paul A. O’Brien, Junqiang Xu, Sha Liao, Ao Chen, Xiaowei Chen, Xinrui Jia, Ai-bing Zhang, Shanlin Liu |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 33% |
| United Kingdom | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 48 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 17% |
| Student > Ph. D. Student | 8 | 17% |
| Student > Master | 7 | 15% |
| Student > Doctoral Student | 4 | 8% |
| Other | 4 | 8% |
| Other | 7 | 15% |
| Unknown | 10 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 31% |
| Biochemistry, Genetics and Molecular Biology | 11 | 23% |
| Environmental Science | 3 | 6% |
| Unspecified | 2 | 4% |
| Veterinary Science and Veterinary Medicine | 1 | 2% |
| Other | 6 | 13% |
| Unknown | 10 | 21% |
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 06 December 2020.
All research outputs
#15,710,106
of 23,343,453 outputs
Outputs from BMC Genomics
#6,778
of 10,745 outputs
Outputs of similar age
#306,623
of 508,950 outputs
Outputs of similar age from BMC Genomics
#102
of 185 outputs
Altmetric has tracked 23,343,453 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,745 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 28th percentile – i.e., 28% 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 508,950 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 185 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.