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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Gene copy number variation and its significance in cyanobacterial phylogeny
|
|---|---|
| Published in |
BMC Microbiology, August 2012
|
| DOI | 10.1186/1471-2180-12-177 |
| Pubmed ID | |
| Authors |
Bettina E Schirrmeister, Daniel A Dalquen, Maria Anisimova, Homayoun C Bagheri |
| Abstract |
In eukaryotes, variation in gene copy numbers is often associated with deleterious effects, but may also have positive effects. For prokaryotes, studies on gene copy number variation are rare. Previous studies have suggested that high numbers of rRNA gene copies can be advantageous in environments with changing resource availability, but further association of gene copies and phenotypic traits are not documented. We used one of the morphologically most diverse prokaryotic phyla to test whether numbers of gene copies are associated with levels of cell differentiation. |
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 % |
|---|---|---|
| United Kingdom | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Chile | 1 | <1% |
| Brazil | 1 | <1% |
| Switzerland | 1 | <1% |
| United Kingdom | 1 | <1% |
| Sweden | 1 | <1% |
| Spain | 1 | <1% |
| Belgium | 1 | <1% |
| Unknown | 107 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 33 | 28% |
| Researcher | 28 | 24% |
| Student > Master | 18 | 16% |
| Student > Bachelor | 11 | 9% |
| Student > Doctoral Student | 6 | 5% |
| Other | 11 | 9% |
| Unknown | 9 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 49 | 42% |
| Biochemistry, Genetics and Molecular Biology | 28 | 24% |
| Environmental Science | 11 | 9% |
| Immunology and Microbiology | 3 | 3% |
| Computer Science | 3 | 3% |
| Other | 7 | 6% |
| Unknown | 15 | 13% |
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 16 August 2012.
All research outputs
#19,942,887
of 25,371,288 outputs
Outputs from BMC Microbiology
#2,221
of 3,489 outputs
Outputs of similar age
#141,570
of 186,045 outputs
Outputs of similar age from BMC Microbiology
#41
of 58 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,489 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 29th percentile – i.e., 29% 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 186,045 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.