| Title |
Ten recommendations for creating usable bioinformatics command line software
|
|---|---|
| Published in |
Giga Science, November 2013
|
| DOI | 10.1186/2047-217x-2-15 |
| Pubmed ID | |
| Authors |
Torsten Seemann |
| Abstract |
Bioinformatics software varies greatly in quality. In terms of usability, the command line interface is the first experience a user will have of a tool. Unfortunately, this is often also the last time a tool will be used. Here I present ten recommendations for command line software author's tools to follow, which I believe would greatly improve the uptake and usability of their products, waste less user's time, and improve the quality of scientific analyses. |
X Demographics
The data shown below were collected from the profiles of 207 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 States | 48 | 23% |
| United Kingdom | 18 | 9% |
| Australia | 12 | 6% |
| Canada | 10 | 5% |
| Germany | 10 | 5% |
| France | 8 | 4% |
| Spain | 6 | 3% |
| India | 4 | 2% |
| Sweden | 4 | 2% |
| Other | 23 | 11% |
| Unknown | 64 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 115 | 56% |
| Members of the public | 87 | 42% |
| Science communicators (journalists, bloggers, editors) | 3 | 1% |
| Practitioners (doctors, other healthcare professionals) | 1 | <1% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 171 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 3% |
| United Kingdom | 3 | 2% |
| Spain | 3 | 2% |
| Netherlands | 2 | 1% |
| Hong Kong | 2 | 1% |
| Sweden | 2 | 1% |
| Malaysia | 1 | <1% |
| Mexico | 1 | <1% |
| Argentina | 1 | <1% |
| Other | 6 | 4% |
| Unknown | 145 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 45 | 26% |
| Researcher | 44 | 26% |
| Student > Master | 18 | 11% |
| Student > Bachelor | 16 | 9% |
| Other | 11 | 6% |
| Other | 28 | 16% |
| Unknown | 9 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 85 | 50% |
| Biochemistry, Genetics and Molecular Biology | 33 | 19% |
| Computer Science | 18 | 11% |
| Medicine and Dentistry | 4 | 2% |
| Immunology and Microbiology | 3 | 2% |
| Other | 14 | 8% |
| Unknown | 14 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 140. 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 28 November 2022.
All research outputs
#302,161
of 25,736,439 outputs
Outputs from Giga Science
#20
of 1,178 outputs
Outputs of similar age
#2,249
of 225,603 outputs
Outputs of similar age from Giga Science
#1
of 4 outputs
Altmetric has tracked 25,736,439 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 1,178 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.7. This one has done particularly well, scoring higher than 98% of its peers.
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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. This one has scored higher than all of them