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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Cytometric fingerprints: evaluation of new tools for analyzing microbial community dynamics
|
|---|---|
| Published in |
Frontiers in Microbiology, June 2014
|
| DOI | 10.3389/fmicb.2014.00273 |
| Pubmed ID | |
| Authors |
Christin Koch, Falk Harnisch, Uwe Schröder, Susann Müller |
| Abstract |
Optical characteristics of individual bacterial cells of natural communities can be measured with flow cytometry (FCM) in high throughput. The resulting data are visualized in cytometric histograms. These histograms represent individual cytometric fingerprints of microbial communities, e.g., at certain time points or microenvironmental conditions. Up to now four tools for analyzing the variation in these cytometric fingerprints are available but have not yet been systematically compared regarding application: Dalmatian Plot, Cytometric Histogram Image Comparison (CHIC), Cytometric Barcoding (CyBar), and FlowFP. In this article these tools were evaluated concerning (i) the required experience of the operator in handling cytometric data sets, (ii) the detection level of changes, (iii) time demand for analysis, and (iv) software requirements. As an illustrative example, FCM was used to characterize the microbial community structure of electroactive microbial biofilms. Their cytometric fingerprints were determined, analyzed with all four tools, and correlated to experimental and functional parameters. The source of inoculum (four different types of wastewater samples) showed the strongest influence on the microbial community structure and biofilm performance while the choice of substrate (acetate or lactate) had no significant effect in the present study. All four evaluation tools were found suitable to monitor structural changes of natural microbial communities. The Dalmatian Plot was shown to be most sensitive to operator impact but nevertheless provided an overview on community shifts. CHIC, CyBar, and FlowFP showed less operator dependence and gave highly resolved information on community structure variation on different detection levels. In conclusion, experimental and productivity parameters correlated with the biofilm structures and practical process integration details were available from cytometric fingerprint analysis. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Spain | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 187 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 1% |
| Indonesia | 1 | <1% |
| Chile | 1 | <1% |
| France | 1 | <1% |
| Switzerland | 1 | <1% |
| Mexico | 1 | <1% |
| India | 1 | <1% |
| Spain | 1 | <1% |
| Poland | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 177 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 44 | 24% |
| Researcher | 33 | 18% |
| Student > Master | 31 | 17% |
| Student > Bachelor | 15 | 8% |
| Student > Doctoral Student | 9 | 5% |
| Other | 26 | 14% |
| Unknown | 29 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 39 | 21% |
| Agricultural and Biological Sciences | 35 | 19% |
| Biochemistry, Genetics and Molecular Biology | 25 | 13% |
| Engineering | 22 | 12% |
| Chemistry | 9 | 5% |
| Other | 19 | 10% |
| Unknown | 38 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 14 October 2014.
All research outputs
#17,721,395
of 22,757,090 outputs
Outputs from Frontiers in Microbiology
#17,017
of 24,630 outputs
Outputs of similar age
#155,773
of 228,065 outputs
Outputs of similar age from Frontiers in Microbiology
#112
of 170 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,630 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
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 228,065 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 170 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.