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X Demographics
Mendeley readers
Attention Score in Context
| Title |
TreeSnatcher plus: capturing phylogenetic trees from images
|
|---|---|
| Published in |
BMC Bioinformatics, May 2012
|
| DOI | 10.1186/1471-2105-13-110 |
| Pubmed ID | |
| Authors |
Thomas Laubach, Arndt von Haeseler, Martin J Lercher |
| Abstract |
Figures of phylogenetic trees are widely used to illustrate the result of evolutionary analyses. However, one cannot easily extract a machine-readable representation from such images. Therefore, new software emerges that helps to preserve phylogenies digitally for future research. |
X Demographics
The data shown below were collected from the profiles of 29 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 24% |
| France | 3 | 10% |
| United Kingdom | 3 | 10% |
| Germany | 2 | 7% |
| Sweden | 1 | 3% |
| Canada | 1 | 3% |
| Australia | 1 | 3% |
| Cameroon | 1 | 3% |
| Denmark | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 7 | 24% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 48% |
| Scientists | 13 | 45% |
| Science communicators (journalists, bloggers, editors) | 2 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Germany | 1 | 1% |
| Sweden | 1 | 1% |
| Brazil | 1 | 1% |
| Canada | 1 | 1% |
| United Kingdom | 1 | 1% |
| Unknown | 73 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 28% |
| Researcher | 17 | 21% |
| Student > Bachelor | 10 | 13% |
| Student > Master | 9 | 11% |
| Professor | 4 | 5% |
| Other | 9 | 11% |
| Unknown | 9 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 50 | 63% |
| Computer Science | 5 | 6% |
| Biochemistry, Genetics and Molecular Biology | 4 | 5% |
| Environmental Science | 3 | 4% |
| Engineering | 2 | 3% |
| Other | 6 | 8% |
| Unknown | 10 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 31 October 2022.
All research outputs
#1,198,370
of 23,047,237 outputs
Outputs from BMC Bioinformatics
#157
of 7,319 outputs
Outputs of similar age
#7,034
of 165,185 outputs
Outputs of similar age from BMC Bioinformatics
#5
of 103 outputs
Altmetric has tracked 23,047,237 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,319 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 particularly well, scoring higher than 97% 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 165,185 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 95% of its contemporaries.
We're also able to compare this research output to 103 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 96% of its contemporaries.