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The PHA Depolymerase Engineering Database: A systematic analysis tool for the diverse family of polyhydroxyalkanoate (PHA) depolymerases

Overview of attention for article published in BMC Bioinformatics, March 2009
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Mentioned by

patent
1 patent

Citations

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122 Dimensions

Readers on

mendeley
179 Mendeley
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Title
The PHA Depolymerase Engineering Database: A systematic analysis tool for the diverse family of polyhydroxyalkanoate (PHA) depolymerases
Published in
BMC Bioinformatics, March 2009
DOI 10.1186/1471-2105-10-89
Pubmed ID
Authors

Michael Knoll, Thomas M Hamm, Florian Wagner, Virginia Martinez, Jürgen Pleiss

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 179 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 1%
Portugal 1 <1%
Hungary 1 <1%
Finland 1 <1%
United Kingdom 1 <1%
Unknown 173 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 20%
Researcher 24 13%
Student > Bachelor 23 13%
Student > Master 18 10%
Student > Doctoral Student 13 7%
Other 18 10%
Unknown 47 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 23%
Biochemistry, Genetics and Molecular Biology 28 16%
Engineering 13 7%
Environmental Science 10 6%
Immunology and Microbiology 7 4%
Other 23 13%
Unknown 56 31%
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 March 2021.
All research outputs
#7,656,056
of 23,308,124 outputs
Outputs from BMC Bioinformatics
#3,074
of 7,380 outputs
Outputs of similar age
#38,270
of 108,275 outputs
Outputs of similar age from BMC Bioinformatics
#13
of 35 outputs
Altmetric has tracked 23,308,124 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 7,380 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 108,275 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 35 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.