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On single and multiple models of protein families for the detection of remote sequence relationships

Overview of attention for article published in BMC Bioinformatics, January 2006
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Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
9 Mendeley
connotea
1 Connotea
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Title
On single and multiple models of protein families for the detection of remote sequence relationships
Published in
BMC Bioinformatics, January 2006
DOI 10.1186/1471-2105-7-48
Pubmed ID
Authors

James A Casbon, Mansoor AS Saqi

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 11%
Germany 1 11%
Canada 1 11%
Unknown 6 67%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 56%
Student > Ph. D. Student 1 11%
Professor > Associate Professor 1 11%
Student > Master 1 11%
Unknown 1 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 56%
Computer Science 1 11%
Unknown 3 33%
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 14 May 2019.
All research outputs
#7,656,930
of 23,310,485 outputs
Outputs from BMC Bioinformatics
#3,074
of 7,382 outputs
Outputs of similar age
#41,311
of 156,424 outputs
Outputs of similar age from BMC Bioinformatics
#24
of 52 outputs
Altmetric has tracked 23,310,485 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 7,382 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 156,424 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.