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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Biopython: freely available Python tools for computational molecular biology and bioinformatics
|
|---|---|
| Published in |
Bioinformatics, March 2009
|
| DOI | 10.1093/bioinformatics/btp163 |
| Pubmed ID | |
| Authors |
Peter J. A. Cock, Tiago Antao, Jeffrey T. Chang, Brad A. Chapman, Cymon J. Cox, Andrew Dalke, Iddo Friedberg, Thomas Hamelryck, Frank Kauff, Bartek Wilczynski, Michiel J. L. de Hoon |
| Abstract |
The Biopython project is a mature open source international collaboration of volunteer developers, providing Python libraries for a wide range of bioinformatics problems. Biopython includes modules for reading and writing different sequence file formats and multiple sequence alignments, dealing with 3D macro molecular structures, interacting with common tools such as BLAST, ClustalW and EMBOSS, accessing key online databases, as well as providing numerical methods for statistical learning. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 50% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 3 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 3,067 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 50 | 2% |
| United Kingdom | 23 | <1% |
| Germany | 18 | <1% |
| Brazil | 12 | <1% |
| France | 10 | <1% |
| Italy | 8 | <1% |
| Spain | 8 | <1% |
| Netherlands | 7 | <1% |
| Belgium | 7 | <1% |
| Other | 69 | 2% |
| Unknown | 2855 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 666 | 22% |
| Researcher | 478 | 16% |
| Student > Master | 428 | 14% |
| Student > Bachelor | 424 | 14% |
| Student > Doctoral Student | 131 | 4% |
| Other | 377 | 12% |
| Unknown | 563 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 909 | 30% |
| Biochemistry, Genetics and Molecular Biology | 740 | 24% |
| Computer Science | 227 | 7% |
| Chemistry | 102 | 3% |
| Engineering | 86 | 3% |
| Other | 361 | 12% |
| Unknown | 642 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 44. 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 February 2024.
All research outputs
#962,077
of 25,837,817 outputs
Outputs from Bioinformatics
#247
of 12,966 outputs
Outputs of similar age
#2,329
of 110,347 outputs
Outputs of similar age from Bioinformatics
#1
of 72 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,966 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done particularly well, scoring higher than 97% 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 110,347 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 97% of its contemporaries.
We're also able to compare this research output to 72 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 98% of its contemporaries.