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Mendeley readers
Attention Score in Context
| Title |
Compositional discordance between prokaryotic plasmids and host chromosomes
|
|---|---|
| Published in |
BMC Genomics, February 2006
|
| DOI | 10.1186/1471-2164-7-26 |
| Pubmed ID | |
| Authors |
Mark WJ van Passel, Aldert Bart, Angela CM Luyf, Antoine HC van Kampen, Arie van der Ende |
| Abstract |
Most plasmids depend on the host replication machinery and possess partitioning genes. These properties confine plasmids to a limited range of hosts, yielding a close and presumably stable relationship between plasmid and host. Hence, it is anticipated that due to amelioration the dinucleotide composition of plasmids is similar to that of the genome of their hosts. However, plasmids are also thought to play a major role in horizontal gene transfer and thus are frequently exchanged between hosts, suggesting dinucleotide composition dissimilarity between plasmid and host genome. We compared the dinucleotide composition of a large collection of plasmids with that of their host genomes to shed more light on this enigma. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Unknown | 40 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 24% |
| Student > Ph. D. Student | 9 | 22% |
| Professor > Associate Professor | 4 | 10% |
| Professor | 3 | 7% |
| Student > Postgraduate | 3 | 7% |
| Other | 8 | 20% |
| Unknown | 4 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 46% |
| Biochemistry, Genetics and Molecular Biology | 5 | 12% |
| Immunology and Microbiology | 4 | 10% |
| Medicine and Dentistry | 2 | 5% |
| Chemical Engineering | 1 | 2% |
| Other | 4 | 10% |
| Unknown | 6 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 11 September 2013.
All research outputs
#14,597,188
of 22,661,413 outputs
Outputs from BMC Genomics
#6,070
of 10,612 outputs
Outputs of similar age
#142,451
of 167,396 outputs
Outputs of similar age from BMC Genomics
#20
of 25 outputs
Altmetric has tracked 22,661,413 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,612 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 42nd percentile – i.e., 42% 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 167,396 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.