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X Demographics
Mendeley readers
Attention Score in Context
| Title |
EuGI: a novel resource for studying genomic islands to facilitate horizontal gene transfer detection in eukaryotes
|
|---|---|
| Published in |
BMC Genomics, May 2018
|
| DOI | 10.1186/s12864-018-4724-8 |
| Pubmed ID | |
| Authors |
Frederick Johannes Clasen, Rian Ewald Pierneef, Bernard Slippers, Oleg Reva |
| Abstract |
Genomic islands (GIs) are inserts of foreign DNA that have potentially arisen through horizontal gene transfer (HGT). There are evidences that GIs can contribute significantly to the evolution of prokaryotes. The acquisition of GIs through HGT in eukaryotes has, however, been largely unexplored. In this study, the previously developed GI prediction tool, SeqWord Gene Island Sniffer (SWGIS), is modified to predict GIs in eukaryotic chromosomes. Artificial simulations are used to estimate ratios of predicting false positive and false negative GIs by inserting GIs into different test chromosomes and performing the SWGIS v2.0 algorithm. Using SWGIS v2.0, GIs are then identified in 36 fungal, 22 protozoan and 8 invertebrate genomes. SWGIS v2.0 predicts GIs in large eukaryotic chromosomes based on the atypical nucleotide composition of these regions. Averages for predicting false negative and false positive GIs were 20.1% and 11.01% respectively. A total of 10,550 GIs were identified in 66 eukaryotic species with 5299 of these GIs coding for at least one functional protein. The EuGI web-resource, freely accessible at http://eugi.bi.up.ac.za , was developed that allows browsing the database created from identified GIs and genes within GIs through an interactive and visual interface. SWGIS v2.0 along with the EuGI database, which houses GIs identified in 66 different eukaryotic species, and the EuGI web-resource, provide the first comprehensive resource for studying HGT in eukaryotes. |
X Demographics
The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 11% |
| Canada | 2 | 11% |
| India | 2 | 11% |
| China | 1 | 6% |
| United Kingdom | 1 | 6% |
| United States | 1 | 6% |
| South Africa | 1 | 6% |
| Germany | 1 | 6% |
| Unknown | 7 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 61% |
| Scientists | 7 | 39% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 31% |
| Student > Ph. D. Student | 5 | 19% |
| Student > Master | 3 | 12% |
| Student > Bachelor | 2 | 8% |
| Professor | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 6 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 35% |
| Biochemistry, Genetics and Molecular Biology | 6 | 23% |
| Computer Science | 2 | 8% |
| Immunology and Microbiology | 1 | 4% |
| Neuroscience | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 7 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 25 August 2019.
All research outputs
#3,405,030
of 23,925,854 outputs
Outputs from BMC Genomics
#1,255
of 10,861 outputs
Outputs of similar age
#68,301
of 329,960 outputs
Outputs of similar age from BMC Genomics
#41
of 243 outputs
Altmetric has tracked 23,925,854 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,861 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 88% 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 329,960 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 79% of its contemporaries.
We're also able to compare this research output to 243 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.