| Title |
ProPhylo: partial phylogenetic profiling to guide protein family construction and assignment of biological process
|
|---|---|
| Published in |
BMC Bioinformatics, November 2011
|
| DOI | 10.1186/1471-2105-12-434 |
| Pubmed ID | |
| Authors |
Malay K Basu, Jeremy D Selengut, Daniel H Haft |
| Abstract |
Phylogenetic profiling is a technique of scoring co-occurrence between a protein family and some other trait, usually another protein family, across a set of taxonomic groups. In spite of several refinements in recent years, the technique still invites significant improvement. To be its most effective, a phylogenetic profiling algorithm must be able to examine co-occurrences among protein families whose boundaries are uncertain within large homologous protein superfamilies. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| Spain | 1 | 2% |
| Luxembourg | 1 | 2% |
| Unknown | 51 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 27% |
| Student > Ph. D. Student | 13 | 24% |
| Student > Master | 6 | 11% |
| Professor > Associate Professor | 4 | 7% |
| Student > Bachelor | 3 | 5% |
| Other | 11 | 20% |
| Unknown | 3 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 26 | 47% |
| Biochemistry, Genetics and Molecular Biology | 15 | 27% |
| Computer Science | 5 | 9% |
| Engineering | 2 | 4% |
| Mathematics | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 4 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 November 2011.
All research outputs
#6,319,576
of 23,342,664 outputs
Outputs from BMC Bioinformatics
#2,372
of 7,387 outputs
Outputs of similar age
#38,573
of 144,378 outputs
Outputs of similar age from BMC Bioinformatics
#45
of 121 outputs
Altmetric has tracked 23,342,664 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 7,387 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 gotten more attention than average, scoring higher than 67% 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 144,378 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 121 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.