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X Demographics
Mendeley readers
Attention Score in Context
Title |
Skylign: a tool for creating informative, interactive logos representing sequence alignments and profile hidden Markov models
|
---|---|
Published in |
BMC Bioinformatics, January 2014
|
DOI | 10.1186/1471-2105-15-7 |
Pubmed ID | |
Authors |
Travis J Wheeler, Jody Clements, Robert D Finn |
Abstract |
Logos are commonly used in molecular biology to provide a compact graphical representation of the conservation pattern of a set of sequences. They render the information contained in sequence alignments or profile hidden Markov models by drawing a stack of letters for each position, where the height of the stack corresponds to the conservation at that position, and the height of each letter within a stack depends on the frequency of that letter at that position. |
X Demographics
The data shown below were collected from the profiles of 14 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 | 4 | 29% |
United Kingdom | 2 | 14% |
Germany | 2 | 14% |
Norway | 1 | 7% |
Netherlands | 1 | 7% |
Canada | 1 | 7% |
Unknown | 3 | 21% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 8 | 57% |
Members of the public | 5 | 36% |
Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 324 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 1% |
United Kingdom | 2 | <1% |
Czechia | 1 | <1% |
Canada | 1 | <1% |
Portugal | 1 | <1% |
Unknown | 315 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 67 | 21% |
Researcher | 54 | 17% |
Student > Bachelor | 50 | 15% |
Student > Master | 45 | 14% |
Student > Doctoral Student | 18 | 6% |
Other | 35 | 11% |
Unknown | 55 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 102 | 31% |
Biochemistry, Genetics and Molecular Biology | 93 | 29% |
Chemistry | 16 | 5% |
Computer Science | 13 | 4% |
Engineering | 7 | 2% |
Other | 30 | 9% |
Unknown | 63 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 10 February 2022.
All research outputs
#1,733,586
of 24,877,869 outputs
Outputs from BMC Bioinformatics
#320
of 7,601 outputs
Outputs of similar age
#19,680
of 318,806 outputs
Outputs of similar age from BMC Bioinformatics
#9
of 101 outputs
Altmetric has tracked 24,877,869 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 7,601 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 95% 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 318,806 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 93% of its contemporaries.
We're also able to compare this research output to 101 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 92% of its contemporaries.