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Low major histocompatibility complex class II DQA diversity in the Giant Panda (Ailuropoda melanoleuca)

Overview of attention for article published in BMC Genomic Data, June 2007
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Title
Low major histocompatibility complex class II DQA diversity in the Giant Panda (Ailuropoda melanoleuca)
Published in
BMC Genomic Data, June 2007
DOI 10.1186/1471-2156-8-29
Pubmed ID
Authors

Liang Zhu, Xiang-Dong Ruan, Yun-Fa Ge, Qiu-Hong Wan, Sheng-Guo Fang

Abstract

The giant panda (Ailuropoda melanoleuca) is one of the most endangered animals due to habitat fragmentation and loss. Although the captive breeding program for this species is now nearly two decades old, researches on the genetic background of such captive populations, especially on adaptive molecular polymorphism of major histocompatibility complex (MHC), are still limited. In this study, we characterized adaptive variation of the giant panda's MHC DQA gene by PCR amplification of its antigen-recognizing region (i.e. the exon 2) and subsequent single-strand conformational polymorphism (SSCP) and sequence analyses.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 3 2%
United Kingdom 3 2%
Japan 2 1%
India 2 1%
Turkey 1 <1%
United Arab Emirates 1 <1%
Czechia 1 <1%
South Africa 1 <1%
Colombia 1 <1%
Other 4 3%
Unknown 126 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 31 21%
Student > Ph. D. Student 30 21%
Student > Master 25 17%
Other 13 9%
Student > Bachelor 12 8%
Other 22 15%
Unknown 12 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 94 65%
Environmental Science 24 17%
Biochemistry, Genetics and Molecular Biology 5 3%
Social Sciences 2 1%
Earth and Planetary Sciences 2 1%
Other 3 2%
Unknown 15 10%
Attention Score in Context

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 09 December 2011.
All research outputs
#8,535,684
of 25,374,917 outputs
Outputs from BMC Genomic Data
#316
of 1,204 outputs
Outputs of similar age
#29,609
of 82,495 outputs
Outputs of similar age from BMC Genomic Data
#2
of 8 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 65% 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 82,495 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.