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X Demographics
Mendeley readers
Attention Score in Context
| Title |
High-throughput proteogenomics of Ruegeria pomeroyi: seeding a better genomic annotation for the whole marine Roseobacter clade
|
|---|---|
| Published in |
BMC Genomics, February 2012
|
| DOI | 10.1186/1471-2164-13-73 |
| Pubmed ID | |
| Authors |
Joseph A Christie-Oleza, Guylaine Miotello, Jean Armengaud |
| Abstract |
The structural and functional annotation of genomes is now heavily based on data obtained using automated pipeline systems. The key for an accurate structural annotation consists of blending similarities between closely related genomes with biochemical evidence of the genome interpretation. In this work we applied high-throughput proteogenomics to Ruegeria pomeroyi, a member of the Roseobacter clade, an abundant group of marine bacteria, as a seed for the annotation of the whole clade. |
X Demographics
The data shown below were collected from the profiles of 3 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 States | 1 | 33% |
| United Kingdom | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| India | 1 | 2% |
| Hong Kong | 1 | 2% |
| Romania | 1 | 2% |
| Denmark | 1 | 2% |
| Unknown | 48 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 28% |
| Researcher | 14 | 26% |
| Student > Doctoral Student | 5 | 9% |
| Student > Master | 5 | 9% |
| Professor > Associate Professor | 3 | 6% |
| Other | 7 | 13% |
| Unknown | 5 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 24 | 44% |
| Biochemistry, Genetics and Molecular Biology | 9 | 17% |
| Environmental Science | 6 | 11% |
| Engineering | 2 | 4% |
| Immunology and Microbiology | 2 | 4% |
| Other | 4 | 7% |
| Unknown | 7 | 13% |
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 March 2012.
All research outputs
#14,724,943
of 22,663,150 outputs
Outputs from BMC Genomics
#6,106
of 10,612 outputs
Outputs of similar age
#161,315
of 250,712 outputs
Outputs of similar age from BMC Genomics
#145
of 255 outputs
Altmetric has tracked 22,663,150 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% 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 37th percentile – i.e., 37% 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 250,712 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 255 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.