| Title |
RNA-QC-chain: comprehensive and fast quality control for RNA-Seq data
|
|---|---|
| Published in |
BMC Genomics, February 2018
|
| DOI | 10.1186/s12864-018-4503-6 |
| Pubmed ID | |
| Authors |
Qian Zhou, Xiaoquan Su, Gongchao Jing, Songlin Chen, Kang Ning |
X Demographics
The data shown below were collected from the profiles of 13 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 States | 1 | 8% |
| France | 1 | 8% |
| United Kingdom | 1 | 8% |
| Ireland | 1 | 8% |
| India | 1 | 8% |
| Canada | 1 | 8% |
| Unknown | 7 | 54% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 54% |
| Scientists | 6 | 46% |
Mendeley readers
The data shown below were compiled from readership statistics for 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 194 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 46 | 24% |
| Researcher | 36 | 19% |
| Student > Bachelor | 25 | 13% |
| Student > Master | 19 | 10% |
| Other | 9 | 5% |
| Other | 13 | 7% |
| Unknown | 46 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 65 | 34% |
| Agricultural and Biological Sciences | 40 | 21% |
| Medicine and Dentistry | 8 | 4% |
| Engineering | 7 | 4% |
| Computer Science | 5 | 3% |
| Other | 15 | 8% |
| Unknown | 54 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 30 August 2018.
All research outputs
#2,378,948
of 25,837,817 outputs
Outputs from BMC Genomics
#620
of 11,367 outputs
Outputs of similar age
#55,186
of 459,553 outputs
Outputs of similar age from BMC Genomics
#16
of 203 outputs
Altmetric has tracked 25,837,817 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 11,367 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 94% 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 459,553 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 87% of its contemporaries.
We're also able to compare this research output to 203 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.