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X Demographics
Mendeley readers
Attention Score in Context
| Title |
BioDB extractor: customized data extraction system for commonly used bioinformatics databases
|
|---|---|
| Published in |
BioData Mining, October 2015
|
| DOI | 10.1186/s13040-015-0067-z |
| Pubmed ID | |
| Authors |
Rajiv Karbhal, Sangeeta Sawant, Urmila Kulkarni-Kale |
| Abstract |
Diverse types of biological data, primary as well as derived, are available in various formats and are stored in heterogeneous resources. Database-specific as well as integrated search engines are available for carrying out efficient searches of databases. These search engines however, do not support extraction of subsets of data with the same level of granularity that exists in typical database entries. In order to extract fine grained subsets of data, users are required to download complete or partial database entries and write scripts for parsing and extraction. BioDBExtractor (BDE) has been developed to provide 26 customized data extraction utilities for some of the commonly used databases such as ENA (EMBL-Bank), UniprotKB, PDB, and KEGG. BDE eliminates the need for downloading entries and writing scripts. BDE has a simple web interface that enables input of query in the form of accession numbers/ID codes, choice of utilities and selection of fields/subfields of data by the users. BDE thus provides a common data extraction platform for multiple databases and is useful to both, novice and expert users. BDE, however, is not a substitute to basic keyword-based database searches. Desired subsets of data, compiled using BDE can be subsequently used for downstream processing, analyses and knowledge discovery. BDE can be accessed from http://bioinfo.net.in/BioDB/Home.html. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| United States | 1 | 3% |
| Unknown | 33 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 23% |
| Student > Master | 8 | 23% |
| Student > Bachelor | 5 | 14% |
| Student > Ph. D. Student | 4 | 11% |
| Professor > Associate Professor | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 4 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 26% |
| Biochemistry, Genetics and Molecular Biology | 6 | 17% |
| Medicine and Dentistry | 5 | 14% |
| Computer Science | 4 | 11% |
| Engineering | 3 | 9% |
| Other | 4 | 11% |
| Unknown | 4 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 24 June 2018.
All research outputs
#20,068,868
of 24,666,614 outputs
Outputs from BioData Mining
#271
of 319 outputs
Outputs of similar age
#212,002
of 290,291 outputs
Outputs of similar age from BioData Mining
#11
of 12 outputs
Altmetric has tracked 24,666,614 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 319 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one is in the 6th percentile – i.e., 6% of its peers scored the same or lower than it.
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 290,291 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.