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Development and implementation of high-throughput SNP genotyping in barley

Overview of attention for article published in BMC Genomics, December 2009
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Mentioned by

policy
1 policy source

Citations

dimensions_citation
536 Dimensions

Readers on

mendeley
384 Mendeley
citeulike
3 CiteULike
connotea
1 Connotea
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Title
Development and implementation of high-throughput SNP genotyping in barley
Published in
BMC Genomics, December 2009
DOI 10.1186/1471-2164-10-582
Pubmed ID
Authors

Timothy J Close, Prasanna R Bhat, Stefano Lonardi, Yonghui Wu, Nils Rostoks, Luke Ramsay, Arnis Druka, Nils Stein, Jan T Svensson, Steve Wanamaker, Serdar Bozdag, Mikeal L Roose, Matthew J Moscou, Shiaoman Chao, Rajeev K Varshney, Péter Szűcs, Kazuhiro Sato, Patrick M Hayes, David E Matthews, Andris Kleinhofs, Gary J Muehlbauer, Joseph DeYoung, David F Marshall, Kavitha Madishetty, Raymond D Fenton, Pascal Condamine, Andreas Graner, Robbie Waugh

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 384 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 1%
France 3 <1%
Netherlands 2 <1%
Germany 1 <1%
Indonesia 1 <1%
Italy 1 <1%
Australia 1 <1%
Brazil 1 <1%
Portugal 1 <1%
Other 8 2%
Unknown 361 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 105 27%
Student > Ph. D. Student 95 25%
Student > Master 39 10%
Professor > Associate Professor 21 5%
Student > Doctoral Student 21 5%
Other 59 15%
Unknown 44 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 281 73%
Biochemistry, Genetics and Molecular Biology 27 7%
Computer Science 6 2%
Environmental Science 4 1%
Nursing and Health Professions 2 <1%
Other 15 4%
Unknown 49 13%
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 01 January 2021.
All research outputs
#8,535,472
of 25,374,917 outputs
Outputs from BMC Genomics
#3,907
of 11,244 outputs
Outputs of similar age
#51,387
of 176,905 outputs
Outputs of similar age from BMC Genomics
#26
of 61 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 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 58% 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 176,905 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.