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Mendeley readers
Attention Score in Context
| Title |
Pan-genome sequence analysis using Panseq: an online tool for the rapid analysis of core and accessory genomic regions
|
|---|---|
| Published in |
BMC Bioinformatics, September 2010
|
| DOI | 10.1186/1471-2105-11-461 |
| Pubmed ID | |
| Authors |
Chad Laing, Cody Buchanan, Eduardo N Taboada, Yongxiang Zhang, Andrew Kropinski, Andre Villegas, James E Thomas, Victor PJ Gannon |
| Abstract |
The pan-genome of a bacterial species consists of a core and an accessory gene pool. The accessory genome is thought to be an important source of genetic variability in bacterial populations and is gained through lateral gene transfer, allowing subpopulations of bacteria to better adapt to specific niches. Low-cost and high-throughput sequencing platforms have created an exponential increase in genome sequence data and an opportunity to study the pan-genomes of many bacterial species. In this study, we describe a new online pan-genome sequence analysis program, Panseq. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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 354 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 3% |
| Germany | 3 | <1% |
| Denmark | 3 | <1% |
| Sweden | 2 | <1% |
| Canada | 2 | <1% |
| Australia | 1 | <1% |
| Brazil | 1 | <1% |
| India | 1 | <1% |
| Hong Kong | 1 | <1% |
| Other | 8 | 2% |
| Unknown | 323 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 78 | 22% |
| Student > Ph. D. Student | 75 | 21% |
| Student > Master | 46 | 13% |
| Student > Bachelor | 33 | 9% |
| Student > Doctoral Student | 19 | 5% |
| Other | 75 | 21% |
| Unknown | 28 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 173 | 49% |
| Biochemistry, Genetics and Molecular Biology | 60 | 17% |
| Immunology and Microbiology | 27 | 8% |
| Computer Science | 24 | 7% |
| Medicine and Dentistry | 11 | 3% |
| Other | 20 | 6% |
| Unknown | 39 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 14 September 2022.
All research outputs
#1,801,504
of 23,330,477 outputs
Outputs from BMC Bioinformatics
#416
of 7,386 outputs
Outputs of similar age
#6,542
of 96,959 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 53 outputs
Altmetric has tracked 23,330,477 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,386 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. 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 96,959 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 93% of its contemporaries.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.