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Functional approach to high-throughput plant growth analysis

Overview of attention for article published in BMC Systems Biology, December 2013
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

patent
1 patent

Readers on

mendeley
153 Mendeley
citeulike
1 CiteULike
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Title
Functional approach to high-throughput plant growth analysis
Published in
BMC Systems Biology, December 2013
DOI 10.1186/1752-0509-7-s6-s17
Pubmed ID
Authors

Oliver L Tessmer, Yuhua Jiao, Jeffrey A Cruz, David M Kramer, Jin Chen

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 2 1%
Germany 1 <1%
India 1 <1%
Taiwan 1 <1%
Mexico 1 <1%
Malaysia 1 <1%
Argentina 1 <1%
Estonia 1 <1%
Spain 1 <1%
Other 1 <1%
Unknown 142 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 22%
Researcher 24 16%
Student > Master 24 16%
Student > Bachelor 16 10%
Student > Postgraduate 9 6%
Other 18 12%
Unknown 28 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 76 50%
Computer Science 15 10%
Biochemistry, Genetics and Molecular Biology 8 5%
Engineering 7 5%
Environmental Science 4 3%
Other 11 7%
Unknown 32 21%
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 March 2018.
All research outputs
#8,882,501
of 26,017,215 outputs
Outputs from BMC Systems Biology
#330
of 1,135 outputs
Outputs of similar age
#100,896
of 326,765 outputs
Outputs of similar age from BMC Systems Biology
#13
of 47 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,135 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 61% 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 326,765 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.