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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Annotation inconsistencies beyond sequence similarity-based function prediction – phylogeny and genome structure
|
|---|---|
| Published in |
Environmental Microbiome, November 2015
|
| DOI | 10.1186/s40793-015-0101-2 |
| Pubmed ID | |
| Authors |
Vasilis J. Promponas, Ioannis Iliopoulos, Christos A. Ouzounis |
| Abstract |
The function annotation process in computational biology has increasingly shifted from the traditional characterization of individual biochemical roles of protein molecules to the system-wide detection of entire metabolic pathways and genomic structures. The so-called genome-aware methods broaden misannotation inconsistencies in genome sequences beyond protein function assignments, encompassing phylogenetic anomalies and artifactual genomic regions. We outline three categories of error propagation in databases by providing striking examples - at various levels of appreciation by the community from traditional to emerging, thus raising awareness for future solutions. |
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 % |
|---|---|---|
| Greece | 1 | 50% |
| Unknown | 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 7% |
| Netherlands | 1 | 2% |
| Greece | 1 | 2% |
| France | 1 | 2% |
| Unknown | 40 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 35% |
| Student > Ph. D. Student | 10 | 22% |
| Student > Bachelor | 5 | 11% |
| Student > Master | 2 | 4% |
| Other | 2 | 4% |
| Other | 3 | 7% |
| Unknown | 8 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 37% |
| Biochemistry, Genetics and Molecular Biology | 11 | 24% |
| Computer Science | 4 | 9% |
| Mathematics | 1 | 2% |
| Environmental Science | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 11 | 24% |
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 27 November 2015.
All research outputs
#15,739,529
of 25,373,627 outputs
Outputs from Environmental Microbiome
#444
of 786 outputs
Outputs of similar age
#207,558
of 392,489 outputs
Outputs of similar age from Environmental Microbiome
#18
of 34 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 786 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 42nd percentile – i.e., 42% 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 392,489 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.