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 |
A Whole-Cell Computational Model Predicts Phenotype from Genotype
|
|---|---|
| Published in |
Cell, July 2012
|
| DOI | 10.1016/j.cell.2012.05.044 |
| Pubmed ID | |
| Authors |
Jonathan R. Karr, Jayodita C. Sanghvi, Derek N. Macklin, Miriam V. Gutschow, Jared M. Jacobs, Benjamin Bolival, Nacyra Assad-Garcia, John I. Glass, Markus W. Covert |
| Abstract |
Understanding how complex phenotypes arise from individual molecules and their interactions is a primary challenge in biology that computational approaches are poised to tackle. We report a whole-cell computational model of the life cycle of the human pathogen Mycoplasma genitalium that includes all of its molecular components and their interactions. An integrative approach to modeling that combines diverse mathematics enabled the simultaneous inclusion of fundamentally different cellular processes and experimental measurements. Our whole-cell model accounts for all annotated gene functions and was validated against a broad range of data. The model provides insights into many previously unobserved cellular behaviors, including in vivo rates of protein-DNA association and an inverse relationship between the durations of DNA replication initiation and replication. In addition, experimental analysis directed by model predictions identified previously undetected kinetic parameters and biological functions. We conclude that comprehensive whole-cell models can be used to facilitate biological discovery. |
X Demographics
The data shown below were collected from the profiles of 266 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 | 44 | 17% |
| United Kingdom | 19 | 7% |
| Japan | 18 | 7% |
| Spain | 11 | 4% |
| France | 7 | 3% |
| Canada | 6 | 2% |
| Sweden | 5 | 2% |
| India | 5 | 2% |
| Germany | 4 | 2% |
| Other | 32 | 12% |
| Unknown | 115 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 182 | 68% |
| Scientists | 77 | 29% |
| Science communicators (journalists, bloggers, editors) | 4 | 2% |
| Practitioners (doctors, other healthcare professionals) | 3 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 3,106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 125 | 4% |
| United Kingdom | 30 | <1% |
| Germany | 27 | <1% |
| Spain | 19 | <1% |
| France | 17 | <1% |
| Japan | 16 | <1% |
| Canada | 14 | <1% |
| Netherlands | 12 | <1% |
| Brazil | 10 | <1% |
| Other | 98 | 3% |
| Unknown | 2738 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 933 | 30% |
| Researcher | 705 | 23% |
| Student > Master | 313 | 10% |
| Student > Bachelor | 263 | 8% |
| Professor > Associate Professor | 166 | 5% |
| Other | 496 | 16% |
| Unknown | 230 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 1318 | 42% |
| Biochemistry, Genetics and Molecular Biology | 483 | 16% |
| Computer Science | 224 | 7% |
| Engineering | 194 | 6% |
| Physics and Astronomy | 114 | 4% |
| Other | 465 | 15% |
| Unknown | 308 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 537. 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 December 2023.
All research outputs
#46,659
of 25,711,518 outputs
Outputs from Cell
#324
of 17,262 outputs
Outputs of similar age
#137
of 177,348 outputs
Outputs of similar age from Cell
#1
of 145 outputs
Altmetric has tracked 25,711,518 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,262 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 59.1. This one has done particularly well, scoring higher than 98% 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 177,348 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 99% of its contemporaries.
We're also able to compare this research output to 145 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 99% of its contemporaries.