Automation of laboratory routines aided by computer software enables high productivity and is the norm nowadays. However, the integration of different instruments made by different suppliers is still difficult, because to accomplish it, the user must have knowledge of electronics and/or low-level programming. An alternative approach is to control different instruments without an electronic connection between them, relying only on their software interface on a computer. This can be achieved through scripting, which is the emulation of user operations (mouse clicks and keyboard inputs) on the computer. The main advantages of this approach are its simplicity, which enables people with minimal knowledge of computer programming to employ it, and its universality, which enables the integration of instruments made by different suppliers, meaning that the user is totally free to choose the devices to be integrated. Therefore, scripting can be a useful, accessible, and economic solution for laboratory automation.
This research output has an Altmetric Attention Score of 8. 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 20 March 2025.
All research outputs
#6,638,869
of 34,363,559 outputs
Outputs from SLAS TECHNOLOGY: Translating Life Sciences Innovation
#114
of 506 outputs
Outputs of similar age
#60,147
of 349,758 outputs
Outputs of similar age from SLAS TECHNOLOGY: Translating Life Sciences Innovation
#2
of 5 outputs
Altmetric has tracked 34,363,559 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 506 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done well, scoring higher than 77% 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 349,758 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.
