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X Demographics
Mendeley readers
Attention Score in Context
| Title |
AfterQC: automatic filtering, trimming, error removing and quality control for fastq data
|
|---|---|
| Published in |
BMC Bioinformatics, March 2017
|
| DOI | 10.1186/s12859-017-1469-3 |
| Pubmed ID | |
| Authors |
Shifu Chen, Tanxiao Huang, Yanqing Zhou, Yue Han, Mingyan Xu, Jia Gu |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 1 | 20% |
| Germany | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 357 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | <1% |
| United States | 1 | <1% |
| Unknown | 354 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 68 | 19% |
| Student > Ph. D. Student | 66 | 18% |
| Researcher | 58 | 16% |
| Student > Bachelor | 31 | 9% |
| Student > Doctoral Student | 24 | 7% |
| Other | 30 | 8% |
| Unknown | 80 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 101 | 28% |
| Agricultural and Biological Sciences | 94 | 26% |
| Computer Science | 18 | 5% |
| Engineering | 11 | 3% |
| Immunology and Microbiology | 9 | 3% |
| Other | 27 | 8% |
| Unknown | 97 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 23 December 2021.
All research outputs
#5,611,796
of 26,017,215 outputs
Outputs from BMC Bioinformatics
#2,006
of 7,793 outputs
Outputs of similar age
#92,238
of 325,998 outputs
Outputs of similar age from BMC Bioinformatics
#28
of 128 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,793 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has gotten more attention than average, scoring higher than 72% 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 325,998 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 128 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.