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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

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
1 patent

Citations

dimensions_citation
253 Dimensions

Readers on

mendeley
365 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

Mendeley readers

The data shown below were compiled from readership statistics for 365 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%
Belgium 2 <1%
Sweden 2 <1%
France 1 <1%
Czechia 1 <1%
United Kingdom 1 <1%
Other 5 1%
Unknown 341 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 86 24%
Student > Ph. D. Student 73 20%
Student > Master 56 15%
Student > Bachelor 20 5%
Student > Doctoral Student 19 5%
Other 58 16%
Unknown 53 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 201 55%
Computer Science 32 9%
Engineering 23 6%
Biochemistry, Genetics and Molecular Biology 19 5%
Environmental Science 7 2%
Other 20 5%
Unknown 63 17%
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 09 November 2017.
All research outputs
#8,882,501
of 26,017,215 outputs
Outputs from BMC Bioinformatics
#3,336
of 7,793 outputs
Outputs of similar age
#47,751
of 126,155 outputs
Outputs of similar age from BMC Bioinformatics
#40
of 90 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 7,793 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
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 126,155 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 90 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.