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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Phylogenetic reconstruction of ancestral character states for gene expression and mRNA splicing data
|
|---|---|
| Published in |
BMC Bioinformatics, May 2005
|
| DOI | 10.1186/1471-2105-6-127 |
| Pubmed ID | |
| Authors |
Roald Rossnes, Ingvar Eidhammer, David A Liberles |
| Abstract |
As genomes evolve after speciation, gene content, coding sequence, gene expression, and splicing all diverge with time from ancestors with close relatives. A minimum evolution general method for continuous character analysis in a phylogenetic perspective is presented that allows for reconstruction of ancestral character states and for measuring along branch evolution. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 2% |
| Switzerland | 1 | 2% |
| Netherlands | 1 | 2% |
| Australia | 1 | 2% |
| United Kingdom | 1 | 2% |
| Mexico | 1 | 2% |
| China | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 41 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 31% |
| Researcher | 8 | 16% |
| Student > Master | 7 | 14% |
| Professor > Associate Professor | 3 | 6% |
| Student > Bachelor | 2 | 4% |
| Other | 9 | 18% |
| Unknown | 5 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 36 | 73% |
| Biochemistry, Genetics and Molecular Biology | 4 | 8% |
| Computer Science | 3 | 6% |
| Unknown | 6 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 02 April 2020.
All research outputs
#4,502,133
of 22,738,543 outputs
Outputs from BMC Bioinformatics
#1,706
of 7,266 outputs
Outputs of similar age
#10,046
of 57,486 outputs
Outputs of similar age from BMC Bioinformatics
#5
of 23 outputs
Altmetric has tracked 22,738,543 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,266 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 done well, scoring higher than 76% 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 57,486 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 82% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.