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Mendeley readers
Attention Score in Context
Title |
Jalview Version 2—a multiple sequence alignment editor and analysis workbench
|
---|---|
Published in |
Bioinformatics, January 2009
|
DOI | 10.1093/bioinformatics/btp033 |
Pubmed ID | |
Authors |
Andrew M. Waterhouse, James B. Procter, David M. A. Martin, Michèle Clamp, Geoffrey J. Barton |
Abstract |
Jalview Version 2 is a system for interactive WYSIWYG editing, analysis and annotation of multiple sequence alignments. Core features include keyboard and mouse-based editing, multiple views and alignment overviews, and linked structure display with Jmol. Jalview 2 is available in two forms: a lightweight Java applet for use in web applications, and a powerful desktop application that employs web services for sequence alignment, secondary structure prediction and the retrieval of alignments, sequences, annotation and structures from public databases and any DAS 1.53 compliant sequence or annotation server. |
Twitter Demographics
The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 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 4,472 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 37 | <1% |
United States | 29 | <1% |
Germany | 20 | <1% |
Brazil | 9 | <1% |
France | 8 | <1% |
Canada | 7 | <1% |
Netherlands | 5 | <1% |
Spain | 5 | <1% |
Poland | 5 | <1% |
Other | 50 | 1% |
Unknown | 4297 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 1136 | 25% |
Student > Bachelor | 627 | 14% |
Researcher | 622 | 14% |
Student > Master | 610 | 14% |
Student > Doctoral Student | 184 | 4% |
Other | 541 | 12% |
Unknown | 752 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 1449 | 32% |
Biochemistry, Genetics and Molecular Biology | 1363 | 30% |
Chemistry | 153 | 3% |
Immunology and Microbiology | 119 | 3% |
Medicine and Dentistry | 94 | 2% |
Other | 424 | 9% |
Unknown | 870 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 77. 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 20 July 2023.
All research outputs
#490,352
of 23,508,125 outputs
Outputs from Bioinformatics
#55
of 8,640 outputs
Outputs of similar age
#1,530
of 173,252 outputs
Outputs of similar age from Bioinformatics
#1
of 47 outputs
Altmetric has tracked 23,508,125 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,640 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done particularly well, scoring higher than 99% 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 173,252 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 99% of its contemporaries.
We're also able to compare this research output to 47 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 97% of its contemporaries.