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Mendeley readers
Attention Score in Context
| Title |
Optimizing hybrid assembly of next-generation sequence data from Enterococcus faecium: a microbe with highly divergent genome
|
|---|---|
| Published in |
BMC Systems Biology, December 2012
|
| DOI | 10.1186/1752-0509-6-s3-s21 |
| Pubmed ID | |
| Authors |
Yajun Wang, Yao Yu, Bohu Pan, Pei Hao, Yixue Li, Zhifeng Shao, Xiaogang Xu, Xuan Li |
| Abstract |
Sequencing of bacterial genomes became an essential approach to study pathogen virulence and the phylogenetic relationship among close related strains. Bacterium Enterococcus faecium emerged as an important nosocomial pathogen that were often associated with resistance to common antibiotics in hospitals. With highly divergent gene contents, it presented a challenge to the next generation sequencing (NGS) technologies featuring high-throughput and shorter read-length. This study was designed to investigate the properties and systematic biases of NGS technologies and evaluate critical parameters influencing the outcomes of hybrid assemblies using combinations of NGS data. |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 3 | 6% |
| Mexico | 1 | 2% |
| Croatia | 1 | 2% |
| Unknown | 49 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 26% |
| Student > Ph. D. Student | 13 | 24% |
| Student > Master | 6 | 11% |
| Student > Bachelor | 3 | 6% |
| Professor | 3 | 6% |
| Other | 10 | 19% |
| Unknown | 5 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 26 | 48% |
| Biochemistry, Genetics and Molecular Biology | 9 | 17% |
| Medicine and Dentistry | 5 | 9% |
| Computer Science | 3 | 6% |
| Veterinary Science and Veterinary Medicine | 2 | 4% |
| Other | 4 | 7% |
| Unknown | 5 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 September 2021.
All research outputs
#8,675,798
of 25,711,518 outputs
Outputs from BMC Systems Biology
#323
of 1,132 outputs
Outputs of similar age
#84,681
of 277,608 outputs
Outputs of similar age from BMC Systems Biology
#8
of 37 outputs
Altmetric has tracked 25,711,518 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,132 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 62% 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 277,608 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.