You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
HMM-FRAME: accurate protein domain classification for metagenomic sequences containing frameshift errors
|
|---|---|
| Published in |
BMC Bioinformatics, May 2011
|
| DOI | 10.1186/1471-2105-12-198 |
| Pubmed ID | |
| Authors |
Yuan Zhang, Yanni Sun |
| Abstract |
Protein domain classification is an important step in metagenomic annotation. The state-of-the-art method for protein domain classification is profile HMM-based alignment. However, the relatively high rates of insertions and deletions in homopolymer regions of pyrosequencing reads create frameshifts, causing conventional profile HMM alignment tools to generate alignments with marginal scores. This makes error-containing gene fragments unclassifiable with conventional tools. Thus, there is a need for an accurate domain classification tool that can detect and correct sequencing errors. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 4% |
| Sweden | 4 | 4% |
| Brazil | 4 | 4% |
| Australia | 2 | 2% |
| Spain | 2 | 2% |
| France | 1 | <1% |
| Netherlands | 1 | <1% |
| Canada | 1 | <1% |
| Norway | 1 | <1% |
| Other | 2 | 2% |
| Unknown | 89 | 80% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 31 | 28% |
| Student > Ph. D. Student | 19 | 17% |
| Student > Master | 14 | 13% |
| Student > Bachelor | 10 | 9% |
| Student > Postgraduate | 8 | 7% |
| Other | 18 | 16% |
| Unknown | 11 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 68 | 61% |
| Biochemistry, Genetics and Molecular Biology | 12 | 11% |
| Computer Science | 11 | 10% |
| Environmental Science | 4 | 4% |
| Mathematics | 2 | 2% |
| Other | 4 | 4% |
| Unknown | 10 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 12 April 2022.
All research outputs
#5,745,608
of 23,515,383 outputs
Outputs from BMC Bioinformatics
#2,034
of 7,404 outputs
Outputs of similar age
#31,609
of 113,384 outputs
Outputs of similar age from BMC Bioinformatics
#22
of 95 outputs
Altmetric has tracked 23,515,383 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,404 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 72% 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 113,384 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 71% of its contemporaries.
We're also able to compare this research output to 95 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.