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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Biocoder: A programming language for standardizing and automating biology protocols
|
|---|---|
| Published in |
Journal of Biological Engineering, November 2010
|
| DOI | 10.1186/1754-1611-4-13 |
| Pubmed ID | |
| Authors |
Vaishnavi Ananthanarayanan, William Thies |
| Abstract |
Published descriptions of biology protocols are often ambiguous and incomplete, making them difficult to replicate in other laboratories. However, there is increasing benefit to formalizing the descriptions of protocols, as laboratory automation systems (such as microfluidic chips) are becoming increasingly capable of executing them. Our goal in this paper is to improve both the reproducibility and automation of biology experiments by using a programming language to express the precise series of steps taken. |
X Demographics
The data shown below were collected from the profiles of 5 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 | 1 | 20% |
| France | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 5% |
| United Kingdom | 4 | 4% |
| Malaysia | 2 | 2% |
| Mexico | 2 | 2% |
| India | 1 | <1% |
| Netherlands | 1 | <1% |
| Unknown | 96 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 30 | 27% |
| Researcher | 26 | 23% |
| Student > Master | 13 | 12% |
| Student > Bachelor | 9 | 8% |
| Student > Postgraduate | 5 | 5% |
| Other | 17 | 15% |
| Unknown | 11 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 29 | 26% |
| Computer Science | 26 | 23% |
| Biochemistry, Genetics and Molecular Biology | 12 | 11% |
| Engineering | 11 | 10% |
| Arts and Humanities | 4 | 4% |
| Other | 15 | 14% |
| Unknown | 14 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 12 November 2021.
All research outputs
#2,640,638
of 25,839,971 outputs
Outputs from Journal of Biological Engineering
#38
of 313 outputs
Outputs of similar age
#10,307
of 111,719 outputs
Outputs of similar age from Journal of Biological Engineering
#1
of 4 outputs
Altmetric has tracked 25,839,971 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 313 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done well, scoring higher than 87% 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 111,719 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 90% of its contemporaries.
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