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 |
morFeus: a web-based program to detect remotely conserved orthologs using symmetrical best hits and orthology network scoring
|
|---|---|
| Published in |
BMC Bioinformatics, August 2014
|
| DOI | 10.1186/1471-2105-15-263 |
| Pubmed ID | |
| Authors |
Ines Wagner, Michael Volkmer, Malvika Sharan, Jose M Villaveces, Felix Oswald, Vineeth Surendranath, Bianca H Habermann |
| Abstract |
Searching the orthologs of a given protein or DNA sequence is one of the most important and most commonly used Bioinformatics methods in Biology. Programs like BLAST or the orthology search engine Inparanoid can be used to find orthologs when the similarity between two sequences is sufficiently high. They however fail when the level of conservation is low. The detection of remotely conserved proteins oftentimes involves sophisticated manual intervention that is difficult to automate. |
X Demographics
The data shown below were collected from the profiles of 7 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 | 3 | 43% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 57% |
| Members of the public | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| France | 1 | 2% |
| Australia | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 42 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 37% |
| Student > Ph. D. Student | 8 | 17% |
| Student > Master | 6 | 13% |
| Student > Bachelor | 4 | 9% |
| Professor | 2 | 4% |
| Other | 8 | 17% |
| Unknown | 1 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 37% |
| Biochemistry, Genetics and Molecular Biology | 15 | 33% |
| Computer Science | 7 | 15% |
| Engineering | 2 | 4% |
| Neuroscience | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 3 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 27 February 2015.
All research outputs
#7,260,063
of 24,162,843 outputs
Outputs from BMC Bioinformatics
#2,660
of 7,506 outputs
Outputs of similar age
#66,308
of 234,787 outputs
Outputs of similar age from BMC Bioinformatics
#55
of 122 outputs
Altmetric has tracked 24,162,843 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 7,506 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 64% 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 234,787 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 122 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 54% of its contemporaries.