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Attention Score in Context
| Title |
Genetic differentiation of the oriental rat flea, Xenopsylla cheopis, from two sympatric host species
|
|---|---|
| Published in |
Parasites & Vectors, June 2018
|
| DOI | 10.1186/s13071-018-2903-8 |
| Pubmed ID | |
| Authors |
Fang Zhao, Tongzuo Zhang, Jianping Su, Zuhao Huang, Aiguo Wu, Gonghua Lin |
| Abstract |
The oriental rat flea (Xenopsylla cheopis), which infests several mammals, primarily rats (Rattus spp.), is the most notorious vector of human plague. In this study, we measured the genetic differentiation among populations of fleas from the Asian house rat (Rattus tanezumi) and the brown rat (R. norvegicus) using microsatellite markers in order to investigate the extent of host-switching in this parasite. We developed 11 polymorphic microsatellite loci for our study, nine of which showed high potential for inbreeding. AMOVA showed that the majority (84.07%, P < 0.001) of the variation was derived from within populations, followed by variation among groups (14.96%, P < 0.001); in contrast, variation within groups of populations was nearly absent (0.97%, P > 0.05). Analyses of the pairwise fixation index revealed that most of the ten allopatric population pairs but none of the five sympatric population pairs were significantly differentiated. Moreover, based on genetic structure clustering analysis, there was obvious differentiation between allopatric populations but not between sympatric population pairs. These results indicate the presence of frequent migrations of the oriental rat flea between the sympatric Asian house rat and brown rat, causing a high rate of gene flow and limited genetic differentiation. We suggest that there is no clear boundary limiting the migration of oriental rat fleas between the two hosts, and thus both rat species should be monitored equally for the purposes of plague prevention and control. |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 4 | 44% |
| Unknown | 5 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 89% |
| Scientists | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 18% |
| Student > Ph. D. Student | 2 | 12% |
| Librarian | 1 | 6% |
| Student > Doctoral Student | 1 | 6% |
| Professor | 1 | 6% |
| Other | 3 | 18% |
| Unknown | 6 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 29% |
| Arts and Humanities | 2 | 12% |
| Nursing and Health Professions | 1 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Immunology and Microbiology | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 6 | 35% |
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 24 October 2022.
All research outputs
#4,906,112
of 23,575,346 outputs
Outputs from Parasites & Vectors
#1,112
of 5,581 outputs
Outputs of similar age
#94,507
of 329,747 outputs
Outputs of similar age from Parasites & Vectors
#39
of 155 outputs
Altmetric has tracked 23,575,346 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,581 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has done well, scoring higher than 80% 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 329,747 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 155 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 74% of its contemporaries.