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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genomic analyses with biofilter 2.0: knowledge driven filtering, annotation, and model development
|
|---|---|
| Published in |
BioData Mining, December 2013
|
| DOI | 10.1186/1756-0381-6-25 |
| Pubmed ID | |
| Authors |
Sarah A Pendergrass, Alex Frase, John Wallace, Daniel Wolfe, Neerja Katiyar, Carrie Moore, Marylyn D Ritchie |
| Abstract |
The ever-growing wealth of biological information available through multiple comprehensive database repositories can be leveraged for advanced analysis of data. We have now extensively revised and updated the multi-purpose software tool Biofilter that allows researchers to annotate and/or filter data as well as generate gene-gene interaction models based on existing biological knowledge. Biofilter now has the Library of Knowledge Integration (LOKI), for accessing and integrating existing comprehensive database information, including more flexibility for how ambiguity of gene identifiers are handled. We have also updated the way importance scores for interaction models are generated. In addition, Biofilter 2.0 now works with a range of types and formats of data, including single nucleotide polymorphism (SNP) identifiers, rare variant identifiers, base pair positions, gene symbols, genetic regions, and copy number variant (CNV) location information. |
X Demographics
The data shown below were collected from the profiles of 6 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 | 2 | 33% |
| France | 1 | 17% |
| China | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 67% |
| Members of the public | 2 | 33% |
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 % |
|---|---|---|
| United States | 3 | 6% |
| Sweden | 1 | 2% |
| Denmark | 1 | 2% |
| Italy | 1 | 2% |
| Unknown | 47 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 30% |
| Student > Ph. D. Student | 13 | 25% |
| Student > Master | 5 | 9% |
| Professor > Associate Professor | 4 | 8% |
| Student > Doctoral Student | 3 | 6% |
| Other | 8 | 15% |
| Unknown | 4 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 27 | 51% |
| Biochemistry, Genetics and Molecular Biology | 11 | 21% |
| Computer Science | 3 | 6% |
| Medicine and Dentistry | 2 | 4% |
| Chemical Engineering | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 6 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 14 May 2017.
All research outputs
#4,057,602
of 22,738,543 outputs
Outputs from BioData Mining
#96
of 307 outputs
Outputs of similar age
#48,678
of 305,083 outputs
Outputs of similar age from BioData Mining
#5
of 7 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 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 307 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 68% 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 305,083 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 83% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.