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Twitter 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. |
Twitter Demographics
The data shown below were collected from the profiles of 2 tweeters 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 297 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 | 278 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 76 | 26% |
| Researcher | 63 | 21% |
| Student > Master | 40 | 13% |
| Student > Bachelor | 29 | 10% |
| Student > Doctoral Student | 16 | 5% |
| Other | 37 | 12% |
| Unknown | 36 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 134 | 45% |
| Biochemistry, Genetics and Molecular Biology | 45 | 15% |
| Environmental Science | 14 | 5% |
| Computer Science | 11 | 4% |
| Immunology and Microbiology | 10 | 3% |
| Other | 27 | 9% |
| Unknown | 56 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 31 December 2016.
All research outputs
#6,750,802
of 22,668,244 outputs
Outputs from BMC Bioinformatics
#2,582
of 7,247 outputs
Outputs of similar age
#48,047
of 164,032 outputs
Outputs of similar age from BMC Bioinformatics
#37
of 103 outputs
Altmetric has tracked 22,668,244 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 7,247 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 63% 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 164,032 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 103 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.