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X Demographics
Mendeley readers
Attention Score in Context
| Title |
CodingQuarry: highly accurate hidden Markov model gene prediction in fungal genomes using RNA-seq transcripts
|
|---|---|
| Published in |
BMC Genomics, March 2015
|
| DOI | 10.1186/s12864-015-1344-4 |
| Pubmed ID | |
| Authors |
Alison C Testa, James K Hane, Simon R Ellwood, Richard P Oliver |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 4 | 40% |
| France | 2 | 20% |
| China | 1 | 10% |
| United States | 1 | 10% |
| Unknown | 2 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 70% |
| Members of the public | 3 | 30% |
Mendeley readers
The data shown below were compiled from readership statistics for 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 2 | 1% |
| United States | 2 | 1% |
| Taiwan | 1 | <1% |
| Austria | 1 | <1% |
| Japan | 1 | <1% |
| Slovenia | 1 | <1% |
| Unknown | 129 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 21% |
| Student > Master | 24 | 18% |
| Researcher | 23 | 17% |
| Student > Bachelor | 14 | 10% |
| Student > Doctoral Student | 14 | 10% |
| Other | 15 | 11% |
| Unknown | 18 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 57 | 42% |
| Biochemistry, Genetics and Molecular Biology | 37 | 27% |
| Computer Science | 11 | 8% |
| Medicine and Dentistry | 3 | 2% |
| Environmental Science | 2 | 1% |
| Other | 7 | 5% |
| Unknown | 20 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 18 July 2018.
All research outputs
#2,318,888
of 23,498,099 outputs
Outputs from BMC Genomics
#681
of 10,787 outputs
Outputs of similar age
#30,538
of 260,552 outputs
Outputs of similar age from BMC Genomics
#17
of 291 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,787 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 93% 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 260,552 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 88% of its contemporaries.
We're also able to compare this research output to 291 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 94% of its contemporaries.