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An Automated Method for Rapid Identification of Putative Gene Family Members in Plants

Overview of attention for article published in BMC Bioinformatics, September 2006
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Mentioned by

wikipedia
5 Wikipedia pages

Readers on

mendeley
13 Mendeley
connotea
1 Connotea
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Title
An Automated Method for Rapid Identification of Putative Gene Family Members in Plants
Published in
BMC Bioinformatics, September 2006
DOI 10.1186/1471-2105-7-s2-s19
Pubmed ID
Authors

Ronald L Frank, Ajay Mane, Fikret Ercal

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 8%
Unknown 12 92%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 31%
Student > Ph. D. Student 3 23%
Student > Postgraduate 2 15%
Student > Bachelor 1 8%
Researcher 1 8%
Other 1 8%
Unknown 1 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 46%
Biochemistry, Genetics and Molecular Biology 2 15%
Medicine and Dentistry 2 15%
Psychology 1 8%
Unknown 2 15%
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 26 November 2023.
All research outputs
#7,474,859
of 22,851,489 outputs
Outputs from BMC Bioinformatics
#3,026
of 7,292 outputs
Outputs of similar age
#23,528
of 67,477 outputs
Outputs of similar age from BMC Bioinformatics
#12
of 45 outputs
Altmetric has tracked 22,851,489 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 7,292 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% 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 67,477 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 45 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.