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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Assessment and refinement of eukaryotic gene structure prediction with gene-structure-aware multiple protein sequence alignment
|
|---|---|
| Published in |
BMC Bioinformatics, June 2014
|
| DOI | 10.1186/1471-2105-15-189 |
| Pubmed ID | |
| Authors |
Osamu Gotoh, Mariko Morita, David R Nelson |
| Abstract |
Accurate computational identification of eukaryotic gene organization is a long-standing problem. Despite the fundamental importance of precise annotation of genes encoded in newly sequenced genomes, the accuracy of predicted gene structures has not been critically evaluated, mostly due to the scarcity of proper assessment methods. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| Germany | 1 | 2% |
| Switzerland | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 42 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 28% |
| Student > Bachelor | 10 | 21% |
| Student > Ph. D. Student | 6 | 13% |
| Student > Doctoral Student | 3 | 6% |
| Other | 2 | 4% |
| Other | 8 | 17% |
| Unknown | 5 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 26 | 55% |
| Computer Science | 6 | 13% |
| Biochemistry, Genetics and Molecular Biology | 5 | 11% |
| Engineering | 3 | 6% |
| Arts and Humanities | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 4 | 9% |
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 16 June 2014.
All research outputs
#19,015,492
of 23,577,654 outputs
Outputs from BMC Bioinformatics
#6,459
of 7,400 outputs
Outputs of similar age
#165,728
of 229,789 outputs
Outputs of similar age from BMC Bioinformatics
#118
of 154 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,400 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 5th percentile – i.e., 5% 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 229,789 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 154 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.