↓ Skip to main content

Gapped BLAST and PSI-BLAST: a new generation of protein database search programs

Overview of attention for article published in Nucleic Acids Research, September 1997
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
4 news outlets
blogs
4 blogs
policy
4 policy sources
twitter
18 X users
patent
4638 patents
facebook
1 Facebook page
wikipedia
22 Wikipedia pages

Citations

dimensions_citation
61785 Dimensions

Readers on

mendeley
14151 Mendeley
citeulike
128 CiteULike
connotea
13 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.
Title
Gapped BLAST and PSI-BLAST: a new generation of protein database search programs
Published in
Nucleic Acids Research, September 1997
DOI 10.1093/nar/25.17.3389
Pubmed ID
Authors

Stephen F. Altschul, Thomas L. Madden, Alejandro A. Schäffer, Jinghui Zhang, Zheng Zhang, Webb Miller, David J. Lipman

Abstract

The BLAST programs are widely used tools for searching protein and DNA databases for sequence similarities. For protein comparisons, a variety of definitional, algorithmic and statistical refinements described here permits the execution time of the BLAST programs to be decreased substantially while enhancing their sensitivity to weak similarities. A new criterion for triggering the extension of word hits, combined with a new heuristic for generating gapped alignments, yields a gapped BLAST program that runs at approximately three times the speed of the original. In addition, a method is introduced for automatically combining statistically significant alignments produced by BLAST into a position-specific score matrix, and searching the database using this matrix. The resulting Position-Specific Iterated BLAST (PSI-BLAST) program runs at approximately the same speed per iteration as gapped BLAST, but in many cases is much more sensitive to weak but biologically relevant sequence similarities. PSI-BLAST is used to uncover several new and interesting members of the BRCT superfamily.

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14,151 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 183 1%
United Kingdom 82 <1%
Germany 81 <1%
Brazil 64 <1%
Spain 38 <1%
France 30 <1%
Canada 28 <1%
Mexico 27 <1%
India 23 <1%
Other 301 2%
Unknown 13294 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3180 22%
Researcher 2289 16%
Student > Master 1986 14%
Student > Bachelor 1739 12%
Student > Doctoral Student 709 5%
Other 2116 15%
Unknown 2132 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 5812 41%
Biochemistry, Genetics and Molecular Biology 2782 20%
Computer Science 636 4%
Chemistry 453 3%
Immunology and Microbiology 372 3%
Other 1594 11%
Unknown 2502 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 101. 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 05 March 2024.
All research outputs
#421,409
of 25,576,275 outputs
Outputs from Nucleic Acids Research
#83
of 27,631 outputs
Outputs of similar age
#89
of 28,521 outputs
Outputs of similar age from Nucleic Acids Research
#1
of 101 outputs
Altmetric has tracked 25,576,275 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 27,631 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done particularly well, scoring higher than 99% 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 28,521 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.