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X Demographics
Mendeley readers
Attention Score in Context
| Title |
PGAweb: A Web Server for Bacterial Pan-Genome Analysis
|
|---|---|
| Published in |
Frontiers in Microbiology, August 2018
|
| DOI | 10.3389/fmicb.2018.01910 |
| Pubmed ID | |
| Authors |
Xinyu Chen, Yadong Zhang, Zhewen Zhang, Yongbing Zhao, Chen Sun, Ming Yang, Jinyue Wang, Qian Liu, Baohua Zhang, Meili Chen, Jun Yu, Jiayan Wu, Zhong Jin, Jingfa Xiao |
| Abstract |
An astronomical increase in microbial genome data in recent years has led to strong demand for bioinformatic tools for pan-genome analysis within and across species. Here, we present PGAweb, a user-friendly, web-based tool for bacterial pan-genome analysis, which is composed of two main pan-genome analysis modules, PGAP and PGAP-X. PGAweb provides key interactive and customizable functions that include orthologous clustering, pan-genome profiling, sequence variation and evolution analysis, and functional classification. PGAweb presents features of genomic structural dynamics and sequence diversity with different visualization methods that are helpful for intuitively understanding the dynamics and evolution of bacterial genomes. PGAweb has an intuitive interface with one-click setting of parameters and is freely available at http://PGAweb.vlcc.cn/. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 122 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 27 | 22% |
| Researcher | 20 | 16% |
| Student > Bachelor | 12 | 10% |
| Student > Master | 10 | 8% |
| Student > Doctoral Student | 8 | 7% |
| Other | 18 | 15% |
| Unknown | 27 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 30 | 25% |
| Agricultural and Biological Sciences | 25 | 20% |
| Immunology and Microbiology | 11 | 9% |
| Computer Science | 8 | 7% |
| Veterinary Science and Veterinary Medicine | 3 | 2% |
| Other | 11 | 9% |
| Unknown | 34 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 September 2018.
All research outputs
#18,648,325
of 23,102,082 outputs
Outputs from Frontiers in Microbiology
#19,678
of 25,280 outputs
Outputs of similar age
#256,462
of 333,772 outputs
Outputs of similar age from Frontiers in Microbiology
#557
of 717 outputs
Altmetric has tracked 23,102,082 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 25,280 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 9th percentile – i.e., 9% 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 333,772 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 717 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.