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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Pathogen burden, co‐infection and major histocompatibility complex variability in the European badger (Meles meles)
|
|---|---|
| Published in |
Molecular Ecology, October 2014
|
| DOI | 10.1111/mec.12917 |
| Pubmed ID | |
| Authors |
Yung Wa Sin, Geetha Annavi, Hannah L. Dugdale, Chris Newman, Terry Burke, David W. MacDonald |
| Abstract |
Pathogen-mediated selection is thought to maintain the extreme diversity in the major histocompatibility complex (MHC) genes, operating through the heterozygote advantage, rare-allele advantage and fluctuating selection mechanisms. Heterozygote advantage (i.e., recognizing and binding a wider range of antigens than homozygotes) is expected to be more detectable when multiple pathogens are considered simultaneously. Here, we test if MHC diversity in a wild population of European badgers (Meles meles) is driven by pathogen-mediated selection. We examined individual prevalence (infected or not), infection intensity and co-infection of 13 pathogens from a range of taxa, and examined their relationships with MHC class I and class II variability. This population has a variable, but relatively low, number of MHC alleles and is infected by a variety of naturally-occurring pathogens, making it very suitable for the investigation of MHC-pathogen relationships. We found associations between pathogen infections and specific MHC haplotypes and alleles. Co-infection status was not correlated with MHC heterozygosity, but there was evidence of heterozygote advantage against individual pathogen infections. This suggests that rare-allele advantages and/or fluctuating selection, as well as heterozygote advantage are likely to be the selective forces shaping MHC diversity in this species. We show stronger evidence for MHC-associations with infection intensity than for prevalence, and conclude that examining both pathogen prevalence and infection intensity is important. Moreover, examination of a large number and diversity of pathogens, and both MHC class I and II genes (which have different functions), provide an improved understanding of the mechanisms driving MHC diversity. This article is protected by copyright. All rights reserved. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| France | 1 | <1% |
| Germany | 1 | <1% |
| Brazil | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 103 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 21% |
| Researcher | 23 | 21% |
| Student > Master | 20 | 18% |
| Student > Postgraduate | 7 | 6% |
| Student > Doctoral Student | 5 | 5% |
| Other | 17 | 16% |
| Unknown | 14 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 57 | 52% |
| Environmental Science | 13 | 12% |
| Biochemistry, Genetics and Molecular Biology | 7 | 6% |
| Veterinary Science and Veterinary Medicine | 4 | 4% |
| Immunology and Microbiology | 1 | <1% |
| Other | 2 | 2% |
| Unknown | 25 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 15 October 2014.
All research outputs
#15,188,757
of 24,549,201 outputs
Outputs from Molecular Ecology
#5,217
of 6,577 outputs
Outputs of similar age
#133,603
of 260,222 outputs
Outputs of similar age from Molecular Ecology
#66
of 97 outputs
Altmetric has tracked 24,549,201 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,577 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one is in the 19th percentile – i.e., 19% 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 260,222 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.