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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler
|
|---|---|
| Published in |
Giga Science, December 2012
|
| DOI | 10.1186/2047-217x-1-18 |
| 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 |
X Demographics
The data shown below were collected from the profiles of 53 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 | 13 | 25% |
| Hong Kong | 4 | 8% |
| Canada | 3 | 6% |
| Haiti | 2 | 4% |
| Japan | 2 | 4% |
| Germany | 2 | 4% |
| United States | 2 | 4% |
| Italy | 2 | 4% |
| Norway | 1 | 2% |
| Other | 10 | 19% |
| Unknown | 12 | 23% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 27 | 51% |
| Scientists | 23 | 43% |
| Science communicators (journalists, bloggers, editors) | 3 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,941 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 19 | <1% |
| Germany | 13 | <1% |
| Brazil | 13 | <1% |
| France | 8 | <1% |
| United Kingdom | 8 | <1% |
| Spain | 6 | <1% |
| Netherlands | 5 | <1% |
| Japan | 5 | <1% |
| Italy | 5 | <1% |
| Other | 49 | 3% |
| Unknown | 1810 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 473 | 24% |
| Researcher | 362 | 19% |
| Student > Master | 273 | 14% |
| Student > Bachelor | 165 | 9% |
| Student > Doctoral Student | 108 | 6% |
| Other | 296 | 15% |
| Unknown | 264 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 967 | 50% |
| Biochemistry, Genetics and Molecular Biology | 350 | 18% |
| Computer Science | 107 | 6% |
| Environmental Science | 36 | 2% |
| Immunology and Microbiology | 28 | 1% |
| Other | 128 | 7% |
| Unknown | 325 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 62. 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 27 October 2020.
All research outputs
#695,650
of 25,706,302 outputs
Outputs from Giga Science
#69
of 1,176 outputs
Outputs of similar age
#5,070
of 290,510 outputs
Outputs of similar age from Giga Science
#1
of 3 outputs
Altmetric has tracked 25,706,302 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,176 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.7. 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 290,510 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them