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Identification of biofilm proteins in non-typeable Haemophilus Influenzae

Overview of attention for article published in BMC Microbiology, July 2006
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Mentioned by

patent
1 patent

Citations

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60 Dimensions

Readers on

mendeley
59 Mendeley
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Title
Identification of biofilm proteins in non-typeable Haemophilus Influenzae
Published in
BMC Microbiology, July 2006
DOI 10.1186/1471-2180-6-65
Pubmed ID
Authors

Timothy K Gallaher, Siva Wu, Paul Webster, Rodrigo Aguilera

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Chile 1 2%
Unknown 57 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 29%
Researcher 8 14%
Other 6 10%
Student > Bachelor 5 8%
Student > Postgraduate 4 7%
Other 12 20%
Unknown 7 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 37%
Medicine and Dentistry 11 19%
Immunology and Microbiology 6 10%
Biochemistry, Genetics and Molecular Biology 5 8%
Chemistry 2 3%
Other 5 8%
Unknown 8 14%
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 13 December 2012.
All research outputs
#8,535,684
of 25,374,917 outputs
Outputs from BMC Microbiology
#958
of 3,489 outputs
Outputs of similar age
#30,748
of 90,742 outputs
Outputs of similar age from BMC Microbiology
#4
of 7 outputs
Altmetric has tracked 25,374,917 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 3,489 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 65% 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 90,742 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.