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X Demographics
Mendeley readers
Attention Score in Context
| Title |
graphite - a Bioconductor package to convert pathway topology to gene network
|
|---|---|
| Published in |
BMC Bioinformatics, January 2012
|
| DOI | 10.1186/1471-2105-13-20 |
| Pubmed ID | |
| Authors |
Gabriele Sales, Enrica Calura, Duccio Cavalieri, Chiara Romualdi |
| Abstract |
Gene set analysis is moving towards considering pathway topology as a crucial feature. Pathway elements are complex entities such as protein complexes, gene family members and chemical compounds. The conversion of pathway topology to a gene/protein networks (where nodes are a simple element like a gene/protein) is a critical and challenging task that enables topology-based gene set analyses.Unfortunately, currently available R/Bioconductor packages provide pathway networks only from single databases. They do not propagate signals through chemical compounds and do not differentiate between complexes and gene families. |
X Demographics
The data shown below were collected from the profiles of 9 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 Kingdom | 2 | 22% |
| United States | 2 | 22% |
| Switzerland | 1 | 11% |
| Australia | 1 | 11% |
| Germany | 1 | 11% |
| Unknown | 2 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 56% |
| Members of the public | 4 | 44% |
Mendeley readers
The data shown below were compiled from readership statistics for 200 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 5% |
| United Kingdom | 4 | 2% |
| Brazil | 2 | 1% |
| Slovenia | 2 | 1% |
| Spain | 2 | 1% |
| Italy | 1 | <1% |
| Ireland | 1 | <1% |
| Norway | 1 | <1% |
| Germany | 1 | <1% |
| Other | 7 | 4% |
| Unknown | 170 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 55 | 28% |
| Student > Ph. D. Student | 51 | 26% |
| Professor | 17 | 9% |
| Student > Master | 17 | 9% |
| Other | 12 | 6% |
| Other | 28 | 14% |
| Unknown | 20 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 71 | 36% |
| Biochemistry, Genetics and Molecular Biology | 35 | 18% |
| Computer Science | 28 | 14% |
| Medicine and Dentistry | 12 | 6% |
| Engineering | 8 | 4% |
| Other | 20 | 10% |
| Unknown | 26 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 22 June 2022.
All research outputs
#2,955,070
of 23,924,883 outputs
Outputs from BMC Bioinformatics
#947
of 7,486 outputs
Outputs of similar age
#24,216
of 253,272 outputs
Outputs of similar age from BMC Bioinformatics
#9
of 58 outputs
Altmetric has tracked 23,924,883 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,486 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 well, scoring higher than 87% 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 253,272 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 58 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.