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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Contrasting parasite communities among allopatric colour morphs of the Lake Tanganyika cichlid Tropheus
|
|---|---|
| Published in |
BMC Ecology and Evolution, February 2013
|
| DOI | 10.1186/1471-2148-13-41 |
| Pubmed ID | |
| Authors |
Joost AM Raeymaekers, Pascal I Hablützel, Arnout F Grégoir, Jolien Bamps, Anna K Roose, Maarten PM Vanhove, Maarten Van Steenberge, Antoine Pariselle, Tine Huyse, Jos Snoeks, Filip AM Volckaert |
| Abstract |
Adaptation to different ecological environments is thought to drive ecological speciation. This phenomenon culminates in the radiations of cichlid fishes in the African Great Lakes. Multiple characteristic traits of cichlids, targeted by natural or sexual selection, are considered among the driving factors of these radiations. Parasites and pathogens have been suggested to initiate or accelerate speciation by triggering both natural and sexual selection. Three prerequisites for parasite-driven speciation can be inferred from ecological speciation theory. The first prerequisite is that different populations experience divergent infection levels. The second prerequisite is that these infection levels cause divergent selection and facilitate adaptive divergence. The third prerequisite is that parasite-driven adaptive divergence facilitates the evolution of reproductive isolation. Here we investigate the first and the second prerequisite in allopatric chromatically differentiated lineages of the rock-dwelling cichlid Tropheus spp. from southern Lake Tanganyika (Central Africa). Macroparasite communities were screened in eight populations belonging to five different colour morphs. |
X Demographics
The data shown below were collected from the profiles of 6 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 | 17% |
| Japan | 1 | 17% |
| Congo, The Democratic Republic of the | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 1 | 17% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| South Africa | 2 | 3% |
| Russia | 1 | 1% |
| Germany | 1 | 1% |
| Czechia | 1 | 1% |
| Unknown | 75 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 26% |
| Researcher | 17 | 21% |
| Student > Master | 14 | 18% |
| Professor | 6 | 8% |
| Student > Doctoral Student | 5 | 6% |
| Other | 13 | 16% |
| Unknown | 4 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 54 | 68% |
| Biochemistry, Genetics and Molecular Biology | 7 | 9% |
| Environmental Science | 6 | 8% |
| Earth and Planetary Sciences | 2 | 3% |
| Unspecified | 1 | 1% |
| Other | 4 | 5% |
| Unknown | 6 | 8% |
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 04 December 2013.
All research outputs
#8,474,037
of 25,373,627 outputs
Outputs from BMC Ecology and Evolution
#1,984
of 3,714 outputs
Outputs of similar age
#90,621
of 296,584 outputs
Outputs of similar age from BMC Ecology and Evolution
#40
of 76 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 3,714 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 46th percentile – i.e., 46% 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 296,584 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 69% of its contemporaries.
We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.