You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
MDSINE: Microbial Dynamical Systems INference Engine for microbiome time-series analyses
|
|---|---|
| Published in |
Genome Biology, June 2016
|
| DOI | 10.1186/s13059-016-0980-6 |
| Pubmed ID | |
| Authors |
Vanni Bucci, Belinda Tzen, Ning Li, Matt Simmons, Takeshi Tanoue, Elijah Bogart, Luxue Deng, Vladimir Yeliseyev, Mary L. Delaney, Qing Liu, Bernat Olle, Richard R. Stein, Kenya Honda, Lynn Bry, Georg K. Gerber |
| Abstract |
Predicting dynamics of host-microbial ecosystems is crucial for the rational design of bacteriotherapies. We present MDSINE, a suite of algorithms for inferring dynamical systems models from microbiome time-series data and predicting temporal behaviors. Using simulated data, we demonstrate that MDSINE significantly outperforms the existing inference method. We then show MDSINE's utility on two new gnotobiotic mice datasets, investigating infection with Clostridium difficile and an immune-modulatory probiotic. Using these datasets, we demonstrate new capabilities, including accurate forecasting of microbial dynamics, prediction of stable sub-communities that inhibit pathogen growth, and identification of bacteria most crucial to community integrity in response to perturbations. |
X Demographics
The data shown below were collected from the profiles of 37 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 | 13 | 35% |
| France | 6 | 16% |
| United Kingdom | 5 | 14% |
| Greece | 1 | 3% |
| Netherlands | 1 | 3% |
| Unknown | 11 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 17 | 46% |
| Members of the public | 17 | 46% |
| Science communicators (journalists, bloggers, editors) | 2 | 5% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 374 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 1% |
| Finland | 1 | <1% |
| Japan | 1 | <1% |
| India | 1 | <1% |
| Unknown | 367 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 101 | 27% |
| Researcher | 77 | 21% |
| Student > Master | 33 | 9% |
| Student > Doctoral Student | 24 | 6% |
| Student > Bachelor | 21 | 6% |
| Other | 55 | 15% |
| Unknown | 63 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 92 | 25% |
| Biochemistry, Genetics and Molecular Biology | 58 | 16% |
| Immunology and Microbiology | 38 | 10% |
| Computer Science | 21 | 6% |
| Engineering | 20 | 5% |
| Other | 69 | 18% |
| Unknown | 76 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 100. 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 10 January 2024.
All research outputs
#426,904
of 25,663,438 outputs
Outputs from Genome Biology
#225
of 4,500 outputs
Outputs of similar age
#8,295
of 355,028 outputs
Outputs of similar age from Genome Biology
#7
of 82 outputs
Altmetric has tracked 25,663,438 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 4,500 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.9. This one has done particularly well, scoring higher than 95% 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 355,028 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 97% of its contemporaries.
We're also able to compare this research output to 82 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 91% of its contemporaries.