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X Demographics
Mendeley readers
Attention Score in Context
| Title |
CODA (crossover distribution analyzer): quantitative characterization of crossover position patterns along chromosomes
|
|---|---|
| Published in |
BMC Bioinformatics, January 2011
|
| DOI | 10.1186/1471-2105-12-27 |
| Pubmed ID | |
| Authors |
Franck Gauthier, Olivier C Martin, Matthieu Falque |
| Abstract |
During meiosis, homologous chromosomes exchange segments via the formation of crossovers. This phenomenon is highly regulated; in particular, crossovers are distributed heterogeneously along the physical map and rarely arise in close proximity, a property referred to as "interference". Crossover positions form patterns that give clues about how crossovers are formed. In several organisms including yeast, tomato, Arabidopsis, and mouse, it is believed that crossovers form via at least two pathways, one interfering, the other not. |
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 % |
|---|---|---|
| United States | 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 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 4% |
| Netherlands | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 49 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 36% |
| Student > Ph. D. Student | 15 | 28% |
| Other | 4 | 8% |
| Lecturer | 2 | 4% |
| Student > Doctoral Student | 2 | 4% |
| Other | 9 | 17% |
| Unknown | 2 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 33 | 62% |
| Biochemistry, Genetics and Molecular Biology | 11 | 21% |
| Computer Science | 2 | 4% |
| Mathematics | 1 | 2% |
| Unspecified | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 3 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 13 April 2022.
All research outputs
#14,210,095
of 24,953,268 outputs
Outputs from BMC Bioinformatics
#3,937
of 7,615 outputs
Outputs of similar age
#144,781
of 194,379 outputs
Outputs of similar age from BMC Bioinformatics
#27
of 51 outputs
Altmetric has tracked 24,953,268 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,615 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 48th percentile – i.e., 48% 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 194,379 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.