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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The M5nr: a novel non-redundant database containing protein sequences and annotations from multiple sources and associated tools
|
|---|---|
| Published in |
BMC Bioinformatics, June 2012
|
| DOI | 10.1186/1471-2105-13-141 |
| Pubmed ID | |
| Authors |
Andreas Wilke, Travis Harrison, Jared Wilkening, Dawn Field, Elizabeth M Glass, Nikos Kyrpides, Konstantinos Mavrommatis, Folker Meyer |
| Abstract |
Computing of sequence similarity results is becoming a limiting factor in metagenome analysis. Sequence similarity search results encoded in an open, exchangeable format have the potential to limit the needs for computational reanalysis of these data sets. A prerequisite for sharing of similarity results is a common reference. |
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 States | 1 | 50% |
| United Kingdom | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 300 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 3% |
| Brazil | 3 | 1% |
| Sweden | 2 | <1% |
| Germany | 1 | <1% |
| Argentina | 1 | <1% |
| United Kingdom | 1 | <1% |
| Spain | 1 | <1% |
| Denmark | 1 | <1% |
| Unknown | 281 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 76 | 25% |
| Researcher | 63 | 21% |
| Student > Master | 42 | 14% |
| Student > Bachelor | 30 | 10% |
| Student > Doctoral Student | 16 | 5% |
| Other | 38 | 13% |
| Unknown | 35 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 136 | 45% |
| Biochemistry, Genetics and Molecular Biology | 46 | 15% |
| Environmental Science | 14 | 5% |
| Computer Science | 11 | 4% |
| Immunology and Microbiology | 10 | 3% |
| Other | 28 | 9% |
| Unknown | 55 | 18% |
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 22 June 2012.
All research outputs
#19,886,582
of 25,310,061 outputs
Outputs from BMC Bioinformatics
#6,275
of 7,672 outputs
Outputs of similar age
#128,229
of 170,144 outputs
Outputs of similar age from BMC Bioinformatics
#83
of 102 outputs
Altmetric has tracked 25,310,061 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 7,672 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 13th percentile – i.e., 13% 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 170,144 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 102 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.