| Title |
Recurrent neural networks enable design of multifunctional synthetic human gut microbiome dynamics
|
|---|---|
| Published in |
eLife, June 2022
|
| DOI | 10.7554/elife.73870 |
| Pubmed ID | |
| Authors |
Mayank Baranwal, Ryan L Clark, Jaron Thompson, Zeyu Sun, Alfred O Hero, Ophelia S Venturelli |
X Demographics
The data shown below were collected from the profiles of 26 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 | 6 | 23% |
| Austria | 1 | 4% |
| Germany | 1 | 4% |
| India | 1 | 4% |
| Unknown | 17 | 65% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 58% |
| Scientists | 8 | 31% |
| Science communicators (journalists, bloggers, editors) | 2 | 8% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 59 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 14% |
| Student > Ph. D. Student | 6 | 10% |
| Other | 3 | 5% |
| Unspecified | 3 | 5% |
| Student > Bachelor | 3 | 5% |
| Other | 12 | 20% |
| Unknown | 24 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 12% |
| Agricultural and Biological Sciences | 7 | 12% |
| Engineering | 4 | 7% |
| Computer Science | 4 | 7% |
| Unspecified | 3 | 5% |
| Other | 9 | 15% |
| Unknown | 25 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 116. 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 15 August 2022.
All research outputs
#363,605
of 25,563,770 outputs
Outputs from eLife
#965
of 15,723 outputs
Outputs of similar age
#9,899
of 445,383 outputs
Outputs of similar age from eLife
#45
of 481 outputs
Altmetric has tracked 25,563,770 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 15,723 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.0. This one has done particularly well, scoring higher than 93% 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 445,383 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 481 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 90% of its contemporaries.