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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Automated alignment-based curation of gene models in filamentous fungi
|
|---|---|
| Published in |
BMC Bioinformatics, January 2014
|
| DOI | 10.1186/1471-2105-15-19 |
| Pubmed ID | |
| Authors |
Ate van der Burgt, Edouard Severing, Jérôme Collemare, Pierre JGM de Wit |
| Abstract |
Automated gene-calling is still an error-prone process, particularly for the highly plastic genomes of fungal species. Improvement through quality control and manual curation of gene models is a time-consuming process that requires skilled biologists and is only marginally performed. The wealth of available fungal genomes has not yet been exploited by an automated method that applies quality control of gene models in order to obtain more accurate genome annotations. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 33% |
| Netherlands | 2 | 33% |
| Norway | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 67% |
| Members of the public | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 7% |
| Spain | 1 | 2% |
| Poland | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 37 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 23% |
| Student > Ph. D. Student | 6 | 14% |
| Student > Master | 5 | 12% |
| Student > Bachelor | 3 | 7% |
| Student > Doctoral Student | 3 | 7% |
| Other | 7 | 16% |
| Unknown | 9 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 47% |
| Computer Science | 4 | 9% |
| Biochemistry, Genetics and Molecular Biology | 3 | 7% |
| Engineering | 2 | 5% |
| Mathematics | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 11 | 26% |
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 21 January 2014.
All research outputs
#7,194,603
of 22,739,983 outputs
Outputs from BMC Bioinformatics
#2,858
of 7,267 outputs
Outputs of similar age
#87,512
of 304,414 outputs
Outputs of similar age from BMC Bioinformatics
#33
of 101 outputs
Altmetric has tracked 22,739,983 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 7,267 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 59% 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 304,414 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 101 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.