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HTPheno: An image analysis pipeline for high-throughput plant phenotyping

Overview of attention for article published in BMC Bioinformatics, May 2011
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
1 patent

Citations

dimensions_citation
220 Dimensions

Readers on

mendeley
342 Mendeley
citeulike
13 CiteULike
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Title
HTPheno: An image analysis pipeline for high-throughput plant phenotyping
Published in
BMC Bioinformatics, May 2011
DOI 10.1186/1471-2105-12-148
Pubmed ID
Authors

Anja Hartmann, Tobias Czauderna, Roberto Hoffmann, Nils Stein, Falk Schreiber

Mendeley readers

The data shown below were compiled from readership statistics for 342 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 4 1%
United States 4 1%
Netherlands 2 <1%
Canada 2 <1%
Spain 2 <1%
Belgium 2 <1%
Sweden 2 <1%
Czechia 1 <1%
United Kingdom 1 <1%
Other 5 1%
Unknown 317 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 85 25%
Student > Ph. D. Student 70 20%
Student > Master 56 16%
Student > Bachelor 22 6%
Student > Doctoral Student 19 6%
Other 53 15%
Unknown 37 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 194 57%
Computer Science 31 9%
Engineering 23 7%
Biochemistry, Genetics and Molecular Biology 20 6%
Environmental Science 7 2%
Other 18 5%
Unknown 49 14%

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 09 November 2017.
All research outputs
#3,458,945
of 12,114,099 outputs
Outputs from BMC Bioinformatics
#1,660
of 4,410 outputs
Outputs of similar age
#91,360
of 278,492 outputs
Outputs of similar age from BMC Bioinformatics
#45
of 97 outputs
Altmetric has tracked 12,114,099 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,410 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 52% 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 278,492 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 97 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 50% of its contemporaries.