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Genetic diversity trends in twentieth century crop cultivars: a meta analysis

Overview of attention for article published in Theoretical and Applied Genetics, January 2010
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  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#9 of 3,649)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Citations

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Readers on

mendeley
302 Mendeley
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5 CiteULike
Title
Genetic diversity trends in twentieth century crop cultivars: a meta analysis
Published in
Theoretical and Applied Genetics, January 2010
DOI 10.1007/s00122-009-1252-6
Pubmed ID
Authors

Mark van de Wouw, Theo van Hintum, Chris Kik, Rob van Treuren, Bert Visser

Abstract

In recent years, an increasing number of papers has been published on the genetic diversity trends in crop cultivars released in the last century using a variety of molecular techniques. No clear general trends in diversity have emerged from these studies. Meta analytical techniques, using a study weight adapted for use with diversity indices, were applied to analyze these studies. In the meta analysis, 44 published papers were used, addressing diversity trends in released crop varieties in the twentieth century for eight different field crops, wheat being the most represented. The meta analysis demonstrated that overall in the long run no substantial reduction in the regional diversity of crop varieties released by plant breeders has taken place. A significant reduction of 6% in diversity in the 1960s as compared with the diversity in the 1950s was observed. Indications are that after the 1960s and 1970s breeders have been able to again increase the diversity in released varieties. Thus, a gradual narrowing of the genetic base of the varieties released by breeders could not be observed. Separate analyses for wheat and the group of other field crops and separate analyses on the basis of regions all showed similar trends in diversity.

X Demographics

X Demographics

The data shown below were collected from the profiles of 44 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 302 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 3 <1%
Germany 2 <1%
Switzerland 2 <1%
Indonesia 2 <1%
United Kingdom 2 <1%
Philippines 2 <1%
France 2 <1%
United States 2 <1%
Peru 2 <1%
Other 12 4%
Unknown 271 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 88 29%
Student > Ph. D. Student 60 20%
Student > Master 20 7%
Student > Bachelor 20 7%
Professor 16 5%
Other 62 21%
Unknown 36 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 185 61%
Environmental Science 20 7%
Biochemistry, Genetics and Molecular Biology 19 6%
Social Sciences 5 2%
Economics, Econometrics and Finance 3 <1%
Other 19 6%
Unknown 51 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 73. 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 22 December 2022.
All research outputs
#550,399
of 24,330,936 outputs
Outputs from Theoretical and Applied Genetics
#9
of 3,649 outputs
Outputs of similar age
#1,916
of 171,611 outputs
Outputs of similar age from Theoretical and Applied Genetics
#2
of 15 outputs
Altmetric has tracked 24,330,936 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,649 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 99% 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 171,611 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.