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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Unlocking the mystery of the hard-to-sequence phage genome: PaP1 methylome and bacterial immunity
|
|---|---|
| Published in |
BMC Genomics, September 2014
|
| DOI | 10.1186/1471-2164-15-803 |
| Pubmed ID | |
| Authors |
Shuguang Lu, Shuai Le, Yinling Tan, Ming Li, Chang Liu, Kebin Zhang, Jianjun Huang, Haimei Chen, Xiancai Rao, Junmin Zhu, Lingyun Zou, Qingshan Ni, Shu Li, Jing Wang, Xiaolin Jin, Qiwen Hu, Xinyue Yao, Xia Zhao, Lin Zhang, Guangtao Huang, Fuquan Hu |
| Abstract |
Whole-genome sequencing is an important method to understand the genetic information, gene function, biological characteristics and survival mechanisms of organisms. Sequencing large genomes is very simple at present. However, we encountered a hard-to-sequence genome of Pseudomonas aeruginosa phage PaP1. Shotgun sequencing method failed to complete the sequence of this genome. |
X Demographics
The data shown below were collected from the profiles of 12 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 States | 4 | 33% |
| Norway | 2 | 17% |
| France | 1 | 8% |
| Netherlands | 1 | 8% |
| Unknown | 4 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 50% |
| Members of the public | 5 | 42% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 2 | 5% |
| Netherlands | 1 | 2% |
| Egypt | 1 | 2% |
| Unknown | 38 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 29% |
| Student > Master | 8 | 19% |
| Student > Ph. D. Student | 7 | 17% |
| Professor | 3 | 7% |
| Lecturer | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 6 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 40% |
| Biochemistry, Genetics and Molecular Biology | 10 | 24% |
| Immunology and Microbiology | 5 | 12% |
| Medicine and Dentistry | 2 | 5% |
| Veterinary Science and Veterinary Medicine | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 6 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 03 July 2015.
All research outputs
#4,586,408
of 23,498,099 outputs
Outputs from BMC Genomics
#1,855
of 10,787 outputs
Outputs of similar age
#49,191
of 251,935 outputs
Outputs of similar age from BMC Genomics
#37
of 206 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,787 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 82% 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 251,935 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 80% of its contemporaries.
We're also able to compare this research output to 206 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.