You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Attention Score in Context
| Title |
Exploring the symbiotic pangenome of the nitrogen-fixing bacterium Sinorhizobium meliloti
|
|---|---|
| Published in |
BMC Genomics, May 2011
|
| DOI | 10.1186/1471-2164-12-235 |
| Pubmed ID | |
| Authors |
Marco Galardini, Alessio Mengoni, Matteo Brilli, Francesco Pini, Antonella Fioravanti, Susan Lucas, Alla Lapidus, Jan-Fang Cheng, Lynne Goodwin, Samuel Pitluck, Miriam Land, Loren Hauser, Tanja Woyke, Natalia Mikhailova, Natalia Ivanova, Hajnalka Daligault, David Bruce, Chris Detter, Roxanne Tapia, Cliff Han, Hazuki Teshima, Stefano Mocali, Marco Bazzicalupo, Emanuele G Biondi |
| Abstract |
Sinorhizobium meliloti is a model system for the studies of symbiotic nitrogen fixation. An extensive polymorphism at the genetic and phenotypic level is present in natural populations of this species, especially in relation with symbiotic promotion of plant growth. AK83 and BL225C are two nodule-isolated strains with diverse symbiotic phenotypes; BL225C is more efficient in promoting growth of the Medicago sativa plants than strain AK83. In order to investigate the genetic determinants of the phenotypic diversification of S. meliloti strains AK83 and BL225C, we sequenced the complete genomes for these two strains. |
Mendeley readers
The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | <1% |
| India | 1 | <1% |
| Canada | 1 | <1% |
| Mexico | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 136 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 35 | 25% |
| Researcher | 33 | 23% |
| Student > Master | 16 | 11% |
| Student > Doctoral Student | 10 | 7% |
| Professor | 7 | 5% |
| Other | 19 | 13% |
| Unknown | 21 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 86 | 61% |
| Biochemistry, Genetics and Molecular Biology | 17 | 12% |
| Chemical Engineering | 2 | 1% |
| Environmental Science | 2 | 1% |
| Nursing and Health Professions | 2 | 1% |
| Other | 8 | 6% |
| Unknown | 24 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 24 April 2012.
All research outputs
#7,453,126
of 22,785,242 outputs
Outputs from BMC Genomics
#3,596
of 10,647 outputs
Outputs of similar age
#40,480
of 109,832 outputs
Outputs of similar age from BMC Genomics
#23
of 67 outputs
Altmetric has tracked 22,785,242 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,647 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 59% 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 109,832 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.