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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Erratum: SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler
|
|---|---|
| Published in |
Giga Science, July 2015
|
| DOI | 10.1186/s13742-015-0069-2 |
| Pubmed ID | |
| Authors |
Ruibang Luo, Binghang Liu, Yinlong Xie, Zhenyu Li, Weihua Huang, Jianying Yuan, Guangzhu He, Yanxiang Chen, Qi Pan, Yunjie Liu, Jingbo Tang, Gengxiong Wu, Hao Zhang, Yujian Shi, Yong Liu, Chang Yu, Bo Wang, Yao Lu, Changlei Han, David W. Cheung, Siu-Ming Yiu, Shaoliang Peng, Zhu Xiaoqian, Guangming Liu, Xiangke Liao, Yingrui Li, Huanming Yang, Jian Wang, Tak-Wah Lam, Jun Wang |
| Abstract |
[This corrects the article DOI: 10.1186/2047-217X-1-18.]. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| South Africa | 1 | 13% |
| Sweden | 1 | 13% |
| Canada | 1 | 13% |
| Germany | 1 | 13% |
| Norway | 1 | 13% |
| Hong Kong | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 50% |
| Members of the public | 2 | 25% |
| Science communicators (journalists, bloggers, editors) | 2 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 296 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 296 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 56 | 19% |
| Student > Ph. D. Student | 46 | 16% |
| Student > Bachelor | 34 | 11% |
| Researcher | 33 | 11% |
| Student > Doctoral Student | 24 | 8% |
| Other | 36 | 12% |
| Unknown | 67 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 91 | 31% |
| Agricultural and Biological Sciences | 82 | 28% |
| Computer Science | 13 | 4% |
| Environmental Science | 10 | 3% |
| Immunology and Microbiology | 9 | 3% |
| Other | 15 | 5% |
| Unknown | 76 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 07 August 2015.
All research outputs
#3,112,978
of 25,373,627 outputs
Outputs from Giga Science
#623
of 1,167 outputs
Outputs of similar age
#37,948
of 276,131 outputs
Outputs of similar age from Giga Science
#9
of 12 outputs
Altmetric has tracked 25,373,627 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 1,167 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. This one is in the 46th percentile – i.e., 46% 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 276,131 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 86% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.