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X Demographics
Mendeley readers
Attention Score in Context
| Title |
PhenoLink - a web-tool for linking phenotype to ~omics data for bacteria: application to gene-trait matching for Lactobacillus plantarum strains
|
|---|---|
| Published in |
BMC Genomics, May 2012
|
| DOI | 10.1186/1471-2164-13-170 |
| Pubmed ID | |
| Authors |
Jumamurat R Bayjanov, Douwe Molenaar, Vesela Tzeneva, Roland J Siezen, Sacha A F T van Hijum |
| Abstract |
Linking phenotypes to high-throughput molecular biology information generated by ~omics technologies allows revealing cellular mechanisms underlying an organism's phenotype. ~Omics datasets are often very large and noisy with many features (e.g., genes, metabolite abundances). Thus, associating phenotypes to ~omics data requires an approach that is robust to noise and can handle large and diverse data sets. |
X Demographics
The data shown below were collected from the profile of 1 X user 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 3 | 2% |
| United States | 3 | 2% |
| United Kingdom | 2 | 2% |
| Australia | 1 | <1% |
| Brazil | 1 | <1% |
| Kazakhstan | 1 | <1% |
| Hungary | 1 | <1% |
| Sweden | 1 | <1% |
| Spain | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 112 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 37 | 29% |
| Student > Master | 20 | 16% |
| Student > Ph. D. Student | 19 | 15% |
| Professor | 7 | 6% |
| Student > Bachelor | 7 | 6% |
| Other | 20 | 16% |
| Unknown | 17 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 62 | 49% |
| Biochemistry, Genetics and Molecular Biology | 21 | 17% |
| Environmental Science | 6 | 5% |
| Immunology and Microbiology | 4 | 3% |
| Computer Science | 3 | 2% |
| Other | 11 | 9% |
| Unknown | 20 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 27 August 2015.
All research outputs
#4,145,236
of 22,664,644 outputs
Outputs from BMC Genomics
#1,739
of 10,615 outputs
Outputs of similar age
#28,303
of 163,497 outputs
Outputs of similar age from BMC Genomics
#8
of 80 outputs
Altmetric has tracked 22,664,644 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,615 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 83% 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 163,497 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 80 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.