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Detection and validation of single feature polymorphisms using RNA expression data from a rice genome array

Overview of attention for article published in BMC Plant Biology, May 2009
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Mentioned by

patent
1 patent

Citations

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26 Dimensions

Readers on

mendeley
43 Mendeley
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Title
Detection and validation of single feature polymorphisms using RNA expression data from a rice genome array
Published in
BMC Plant Biology, May 2009
DOI 10.1186/1471-2229-9-65
Pubmed ID
Authors

Sung-Hyun Kim, Prasanna R Bhat, Xinping Cui, Harkamal Walia, Jin Xu, Steve Wanamaker, Abdelbagi M Ismail, Clyde Wilson, Timothy J Close

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 5%
Unknown 41 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 30%
Student > Ph. D. Student 8 19%
Student > Bachelor 4 9%
Professor > Associate Professor 4 9%
Other 3 7%
Other 9 21%
Unknown 2 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 81%
Biochemistry, Genetics and Molecular Biology 4 9%
Unknown 4 9%
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 31 July 2018.
All research outputs
#7,577,096
of 23,106,934 outputs
Outputs from BMC Plant Biology
#637
of 3,290 outputs
Outputs of similar age
#38,775
of 114,950 outputs
Outputs of similar age from BMC Plant Biology
#4
of 8 outputs
Altmetric has tracked 23,106,934 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,290 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 75% 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 114,950 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% 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 4 of them.