Title |
A tree-based method for the rapid screening of chemical fingerprints
|
---|---|
Published in |
Algorithms for Molecular Biology, January 2010
|
DOI | 10.1186/1748-7188-5-9 |
Pubmed ID | |
Authors |
Thomas G Kristensen, Jesper Nielsen, Christian NS Pedersen |
Abstract |
The fingerprint of a molecule is a bitstring based on its structure, constructed such that structurally similar molecules will have similar fingerprints. Molecular fingerprints can be used in an initial phase of drug development for identifying novel drug candidates by screening large databases for molecules with fingerprints similar to a query fingerprint. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 5% |
Netherlands | 1 | 3% |
India | 1 | 3% |
Denmark | 1 | 3% |
China | 1 | 3% |
Spain | 1 | 3% |
Unknown | 33 | 83% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 16 | 40% |
Student > Ph. D. Student | 8 | 20% |
Other | 5 | 13% |
Student > Postgraduate | 2 | 5% |
Professor > Associate Professor | 2 | 5% |
Other | 3 | 8% |
Unknown | 4 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 12 | 30% |
Chemistry | 8 | 20% |
Agricultural and Biological Sciences | 6 | 15% |
Mathematics | 3 | 8% |
Physics and Astronomy | 2 | 5% |
Other | 4 | 10% |
Unknown | 5 | 13% |
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 06 June 2022.
All research outputs
#13,149,957
of 22,705,019 outputs
Outputs from Algorithms for Molecular Biology
#93
of 264 outputs
Outputs of similar age
#129,195
of 163,874 outputs
Outputs of similar age from Algorithms for Molecular Biology
#4
of 4 outputs
Altmetric has tracked 22,705,019 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 264 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 63% 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 163,874 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.