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Validating subcellular localization prediction tools with mycobacterial proteins

Overview of attention for article published in BMC Bioinformatics, May 2009
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (58th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
49 Mendeley
citeulike
4 CiteULike
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Title
Validating subcellular localization prediction tools with mycobacterial proteins
Published in
BMC Bioinformatics, May 2009
DOI 10.1186/1471-2105-10-134
Pubmed ID
Authors

Daniel Restrepo-Montoya, Carolina Vizcaíno, Luis F Niño, Marisol Ocampo, Manuel E Patarroyo, Manuel A Patarroyo

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 2%
Netherlands 1 2%
Brazil 1 2%
United Kingdom 1 2%
United States 1 2%
Unknown 44 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 24%
Student > Ph. D. Student 10 20%
Student > Master 6 12%
Student > Bachelor 5 10%
Student > Doctoral Student 3 6%
Other 7 14%
Unknown 6 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 41%
Biochemistry, Genetics and Molecular Biology 5 10%
Computer Science 4 8%
Immunology and Microbiology 4 8%
Medicine and Dentistry 4 8%
Other 5 10%
Unknown 7 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 07 November 2019.
All research outputs
#5,615,371
of 17,381,824 outputs
Outputs from BMC Bioinformatics
#2,456
of 6,152 outputs
Outputs of similar age
#114,905
of 283,888 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 6 outputs
Altmetric has tracked 17,381,824 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,152 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. 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 283,888 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 58% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.