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LocateP: Genome-scale subcellular-location predictor for bacterial proteins

Overview of attention for article published in BMC Bioinformatics, March 2008
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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
135 Dimensions

Readers on

mendeley
102 Mendeley
citeulike
2 CiteULike
connotea
1 Connotea
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Title
LocateP: Genome-scale subcellular-location predictor for bacterial proteins
Published in
BMC Bioinformatics, March 2008
DOI 10.1186/1471-2105-9-173
Pubmed ID
Authors

Miaomiao Zhou, Jos Boekhorst, Christof Francke, Roland J Siezen

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 <1%
Germany 1 <1%
Netherlands 1 <1%
France 1 <1%
Italy 1 <1%
Kazakhstan 1 <1%
Australia 1 <1%
Sweden 1 <1%
Korea, Republic of 1 <1%
Other 1 <1%
Unknown 92 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 32%
Researcher 24 24%
Student > Master 6 6%
Student > Doctoral Student 6 6%
Professor > Associate Professor 5 5%
Other 19 19%
Unknown 9 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 49 48%
Biochemistry, Genetics and Molecular Biology 22 22%
Computer Science 6 6%
Immunology and Microbiology 6 6%
Engineering 3 3%
Other 5 5%
Unknown 11 11%
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 19 December 2023.
All research outputs
#8,386,799
of 25,059,640 outputs
Outputs from BMC Bioinformatics
#3,191
of 7,642 outputs
Outputs of similar age
#32,149
of 91,863 outputs
Outputs of similar age from BMC Bioinformatics
#20
of 50 outputs
Altmetric has tracked 25,059,640 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,642 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. 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 91,863 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.