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Meiotic pairing as an indicator of genome composition in polyploid prairie cordgrass (Spartina pectinata Link)

Overview of attention for article published in Genetica, February 2017
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  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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Title
Meiotic pairing as an indicator of genome composition in polyploid prairie cordgrass (Spartina pectinata Link)
Published in
Genetica, February 2017
DOI 10.1007/s10709-017-9955-0
Pubmed ID
Authors

Jeffrey W. Bishop, Sumin Kim, María B. Villamil, D. K. Lee, A. Lane Rayburn

Abstract

The existence of neopolyploidy in prairie cordgrass (Spartina pectinata Link) has been documented. The neohexaploid was discovered coexisting with tetraploids in central Illinois, and has been reported to exhibit competitiveness in the natural environment. It is hypothesized that the natural tetraploid cytotype produced the hexaploid cytotype via production of unreduced gametes. Meiosis I chromosome pairing was observed in tetraploid (2n = 4x = 40), hexaploid (2n = 6x = 60), and octoploid (2n = 8x = 80) accessions and the percentage of meiotic abnormality was determined. Significant differences in meiotic abnormality exist between tetraploid, hexaploid, and octoploid cytotypes. An elevated incidence of abnormal, predominantly trivalent pairing in the neohexaploid suggests that it may possess homologous chromosomes in sets of three, in contrast to the tetraploid and octoploid cytotypes, which likely possess homologous chromosomes in sets of two. Abnormal chromosome pairing in the hexaploid may result in unequal allocation of chromosomes to daughter cells during later stages of meiosis. Chromosome pairing patterns in tetraploid, hexaploid, and octoploid cytotypes indicate genome compositions of AABB, AAABBB, and AABBA'A'B'B', respectively.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 33%
Researcher 2 22%
Professor 1 11%
Student > Master 1 11%
Student > Bachelor 1 11%
Other 0 0%
Unknown 1 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 67%
Biochemistry, Genetics and Molecular Biology 1 11%
Energy 1 11%
Unknown 1 11%
Attention Score in Context

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 31 March 2017.
All research outputs
#14,052,996
of 22,957,478 outputs
Outputs from Genetica
#423
of 717 outputs
Outputs of similar age
#171,234
of 312,054 outputs
Outputs of similar age from Genetica
#3
of 13 outputs
Altmetric has tracked 22,957,478 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 717 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 39th percentile – i.e., 39% 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 312,054 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.