| Title |
Growthcurver: an R package for obtaining interpretable metrics from microbial growth curves
|
|---|---|
| Published in |
BMC Bioinformatics, April 2016
|
| DOI | 10.1186/s12859-016-1016-7 |
| Pubmed ID | |
| Authors |
Kathleen Sprouffske, Andreas Wagner |
| Abstract |
Plate readers can measure the growth curves of many microbial strains in a high-throughput fashion. The hundreds of absorbance readings collected simultaneously for hundreds of samples create technical hurdles for data analysis. Growthcurver summarizes the growth characteristics of microbial growth curve experiments conducted in a plate reader. The data are fitted to a standard form of the logistic equation, and the parameters have clear interpretations on population-level characteristics, like doubling time, carrying capacity, and growth rate. Growthcurver is an easy-to-use R package available for installation from the Comprehensive R Archive Network (CRAN). The source code is available under the GNU General Public License and can be obtained from Github (Sprouffske K, Growthcurver sourcecode, 2016). |
X Demographics
The data shown below were collected from the profiles of 32 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 | 8 | 25% |
| United Kingdom | 4 | 13% |
| Finland | 1 | 3% |
| Sweden | 1 | 3% |
| Switzerland | 1 | 3% |
| Spain | 1 | 3% |
| Belgium | 1 | 3% |
| Unknown | 15 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 23 | 72% |
| Members of the public | 9 | 28% |
Mendeley readers
The data shown below were compiled from readership statistics for 722 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | <1% |
| Netherlands | 1 | <1% |
| Denmark | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 716 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 172 | 24% |
| Researcher | 96 | 13% |
| Student > Master | 94 | 13% |
| Student > Bachelor | 93 | 13% |
| Student > Doctoral Student | 46 | 6% |
| Other | 74 | 10% |
| Unknown | 147 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 197 | 27% |
| Agricultural and Biological Sciences | 166 | 23% |
| Immunology and Microbiology | 58 | 8% |
| Environmental Science | 34 | 5% |
| Engineering | 14 | 2% |
| Other | 70 | 10% |
| Unknown | 183 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 08 November 2023.
All research outputs
#1,567,695
of 25,452,734 outputs
Outputs from BMC Bioinformatics
#234
of 7,705 outputs
Outputs of similar age
#25,696
of 313,604 outputs
Outputs of similar age from BMC Bioinformatics
#7
of 97 outputs
Altmetric has tracked 25,452,734 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,705 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 96% 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 313,604 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 91% of its contemporaries.
We're also able to compare this research output to 97 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 93% of its contemporaries.