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Mendeley readers
Attention Score in Context
| Title |
Gene finding in novel genomes
|
|---|---|
| Published in |
BMC Bioinformatics, May 2004
|
| DOI | 10.1186/1471-2105-5-59 |
| Pubmed ID | |
| Authors |
Ian Korf |
| Abstract |
Computational gene prediction continues to be an important problem, especially for genomes with little experimental data. |
Mendeley readers
The data shown below were compiled from readership statistics for 1,055 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 13 | 1% |
| United Kingdom | 7 | <1% |
| Germany | 6 | <1% |
| Sweden | 5 | <1% |
| France | 3 | <1% |
| Brazil | 3 | <1% |
| Netherlands | 2 | <1% |
| Australia | 2 | <1% |
| Chile | 2 | <1% |
| Other | 15 | 1% |
| Unknown | 997 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 245 | 23% |
| Researcher | 207 | 20% |
| Student > Master | 135 | 13% |
| Student > Bachelor | 91 | 9% |
| Student > Doctoral Student | 53 | 5% |
| Other | 155 | 15% |
| Unknown | 169 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 486 | 46% |
| Biochemistry, Genetics and Molecular Biology | 228 | 22% |
| Computer Science | 48 | 5% |
| Immunology and Microbiology | 15 | 1% |
| Engineering | 15 | 1% |
| Other | 65 | 6% |
| Unknown | 198 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 February 2024.
All research outputs
#1,976,257
of 25,837,817 outputs
Outputs from BMC Bioinformatics
#401
of 7,763 outputs
Outputs of similar age
#2,679
of 65,149 outputs
Outputs of similar age from BMC Bioinformatics
#3
of 17 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,763 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 94% 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 65,149 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.