↓ Skip to main content

Querying large read collections in main memory: a versatile data structure

Overview of attention for article published in BMC Bioinformatics, June 2011
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
3 X users
patent
2 patents

Readers on

mendeley
137 Mendeley
citeulike
4 CiteULike
connotea
3 Connotea
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Querying large read collections in main memory: a versatile data structure
Published in
BMC Bioinformatics, June 2011
DOI 10.1186/1471-2105-12-242
Pubmed ID
Authors

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 7 5%
France 5 4%
Italy 4 3%
Brazil 4 3%
Germany 3 2%
Sweden 2 1%
Russia 1 <1%
Japan 1 <1%
Spain 1 <1%
Other 2 1%
Unknown 107 78%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 41 30%
Student > Ph. D. Student 24 18%
Student > Master 17 12%
Student > Bachelor 11 8%
Professor 10 7%
Other 30 22%
Unknown 4 3%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 62 45%
Computer Science 34 25%
Biochemistry, Genetics and Molecular Biology 14 10%
Mathematics 5 4%
Engineering 4 3%
Other 10 7%
Unknown 8 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 12 March 2024.
All research outputs
#6,358,650
of 34,054,827 outputs
Outputs from BMC Bioinformatics
#2,023
of 8,509 outputs
Outputs of similar age
#32,367
of 164,295 outputs
Outputs of similar age from BMC Bioinformatics
#27
of 121 outputs
Altmetric has tracked 34,054,827 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,509 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done well, scoring higher than 75% 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 164,295 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 121 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.