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 |
Detecting long tandem duplications in genomic sequences
|
|---|---|
| Published in |
BMC Bioinformatics, May 2012
|
| DOI | 10.1186/1471-2105-13-83 |
| Pubmed ID | |
| Authors |
Eric Audemard, Thomas Schiex, Thomas Faraut |
| Abstract |
Detecting duplication segments within completely sequenced genomes provides valuable information to address genome evolution and in particular the important question of the emergence of novel functions. The usual approach to gene duplication detection, based on all-pairs protein gene comparisons, provides only a restricted view of duplication. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| United Kingdom | 1 | 2% |
| Taiwan | 1 | 2% |
| Sri Lanka | 1 | 2% |
| Russia | 1 | 2% |
| Mexico | 1 | 2% |
| Unknown | 59 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 35% |
| Student > Ph. D. Student | 12 | 18% |
| Student > Master | 7 | 11% |
| Professor | 3 | 5% |
| Student > Bachelor | 3 | 5% |
| Other | 11 | 17% |
| Unknown | 7 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 37 | 56% |
| Biochemistry, Genetics and Molecular Biology | 12 | 18% |
| Computer Science | 4 | 6% |
| Medicine and Dentistry | 2 | 3% |
| Sports and Recreations | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 7 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 09 May 2012.
All research outputs
#18,305,773
of 22,664,644 outputs
Outputs from BMC Bioinformatics
#6,284
of 7,247 outputs
Outputs of similar age
#126,158
of 163,481 outputs
Outputs of similar age from BMC Bioinformatics
#84
of 103 outputs
Altmetric has tracked 22,664,644 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,247 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 5th percentile – i.e., 5% of its peers scored the same or lower than it.
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 163,481 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 103 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.