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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Scipio: Using protein sequences to determine the precise exon/intron structures of genes and their orthologs in closely related species
|
|---|---|
| Published in |
BMC Bioinformatics, June 2008
|
| DOI | 10.1186/1471-2105-9-278 |
| Pubmed ID | |
| Authors |
Oliver Keller, Florian Odronitz, Mario Stanke, Martin Kollmar, Stephan Waack |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 1% |
| Sweden | 2 | 1% |
| Germany | 1 | <1% |
| France | 1 | <1% |
| Norway | 1 | <1% |
| Netherlands | 1 | <1% |
| Portugal | 1 | <1% |
| Czechia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Other | 5 | 4% |
| Unknown | 123 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 36 | 26% |
| Student > Ph. D. Student | 33 | 24% |
| Student > Master | 17 | 12% |
| Other | 10 | 7% |
| Professor > Associate Professor | 8 | 6% |
| Other | 22 | 16% |
| Unknown | 13 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 72 | 52% |
| Biochemistry, Genetics and Molecular Biology | 28 | 20% |
| Computer Science | 11 | 8% |
| Engineering | 4 | 3% |
| Medicine and Dentistry | 2 | 1% |
| Other | 7 | 5% |
| Unknown | 15 | 11% |
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 19 January 2017.
All research outputs
#15,380,868
of 22,940,083 outputs
Outputs from BMC Bioinformatics
#5,386
of 7,307 outputs
Outputs of similar age
#69,688
of 82,217 outputs
Outputs of similar age from BMC Bioinformatics
#38
of 42 outputs
Altmetric has tracked 22,940,083 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,307 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 26th percentile – i.e., 26% 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 82,217 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 42 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.