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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SILVA tree viewer: interactive web browsing of the SILVA phylogenetic guide trees
|
|---|---|
| Published in |
BMC Bioinformatics, September 2017
|
| DOI | 10.1186/s12859-017-1841-3 |
| Pubmed ID | |
| Authors |
Alan Beccati, Jan Gerken, Christian Quast, Pelin Yilmaz, Frank Oliver Glöckner |
| Abstract |
Phylogenetic trees are an important tool to study the evolutionary relationships among organisms. The huge amount of available taxa poses difficulties in their interactive visualization. This hampers the interaction with the users to provide feedback for the further improvement of the taxonomic framework. The SILVA Tree Viewer is a web application designed for visualizing large phylogenetic trees without requiring the download of any software tool or data files. The SILVA Tree Viewer is based on Web Geographic Information Systems (Web-GIS) technology with a PostgreSQL backend. It enables zoom and pan functionalities similar to Google Maps. The SILVA Tree Viewer enables access to two phylogenetic (guide) trees provided by the SILVA database: the SSU Ref NR99 inferred from high-quality, full-length small subunit sequences, clustered at 99% sequence identity and the LSU Ref inferred from high-quality, full-length large subunit sequences. The Tree Viewer provides tree navigation, search and browse tools as well as an interactive feedback system to collect any kinds of requests ranging from taxonomy to data curation and improving the tool itself. |
X Demographics
The data shown below were collected from the profiles of 40 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 | 8 | 20% |
| Germany | 4 | 10% |
| Austria | 4 | 10% |
| France | 1 | 3% |
| Malaysia | 1 | 3% |
| Russia | 1 | 3% |
| India | 1 | 3% |
| Czechia | 1 | 3% |
| Australia | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 15 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 22 | 55% |
| Members of the public | 18 | 45% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 53 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 15% |
| Student > Master | 7 | 13% |
| Student > Ph. D. Student | 6 | 11% |
| Student > Bachelor | 6 | 11% |
| Student > Postgraduate | 4 | 8% |
| Other | 11 | 21% |
| Unknown | 11 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 23% |
| Biochemistry, Genetics and Molecular Biology | 11 | 21% |
| Immunology and Microbiology | 4 | 8% |
| Social Sciences | 2 | 4% |
| Environmental Science | 2 | 4% |
| Other | 9 | 17% |
| Unknown | 13 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 26 February 2022.
All research outputs
#1,481,952
of 24,407,785 outputs
Outputs from BMC Bioinformatics
#232
of 7,530 outputs
Outputs of similar age
#30,141
of 325,681 outputs
Outputs of similar age from BMC Bioinformatics
#5
of 102 outputs
Altmetric has tracked 24,407,785 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,530 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 96% 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 325,681 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 90% of its contemporaries.
We're also able to compare this research output to 102 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.