| Title |
Predictive models of molecular machines involved in Caenorhabditis elegans early embryogenesis
|
|---|---|
| Published in |
Nature, August 2005
|
| DOI | 10.1038/nature03876 |
| Pubmed ID | |
| Authors |
Kristin C. Gunsalus, Hui Ge, Aaron J. Schetter, Debra S. Goldberg, Jing-Dong J. Han, Tong Hao, Gabriel F. Berriz, Nicolas Bertin, Jerry Huang, Ling-Shiang Chuang, Ning Li, Ramamurthy Mani, Anthony A. Hyman, Birte Sönnichsen, Christophe J. Echeverri, Frederick P. Roth, Marc Vidal, Fabio Piano |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 237 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 11 | 5% |
| Germany | 3 | 1% |
| Spain | 3 | 1% |
| Netherlands | 2 | <1% |
| Japan | 2 | <1% |
| Italy | 1 | <1% |
| Australia | 1 | <1% |
| Switzerland | 1 | <1% |
| Canada | 1 | <1% |
| Other | 7 | 3% |
| Unknown | 205 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 68 | 29% |
| Student > Ph. D. Student | 64 | 27% |
| Professor > Associate Professor | 27 | 11% |
| Other | 16 | 7% |
| Student > Bachelor | 13 | 5% |
| Other | 34 | 14% |
| Unknown | 15 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 130 | 55% |
| Biochemistry, Genetics and Molecular Biology | 37 | 16% |
| Computer Science | 15 | 6% |
| Physics and Astronomy | 7 | 3% |
| Medicine and Dentistry | 7 | 3% |
| Other | 23 | 10% |
| Unknown | 18 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 21 May 2021.
All research outputs
#14,545,040
of 23,292,144 outputs
Outputs from Nature
#84,117
of 91,994 outputs
Outputs of similar age
#50,600
of 57,802 outputs
Outputs of similar age from Nature
#393
of 453 outputs
Altmetric has tracked 23,292,144 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 91,994 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 100.0. This one is in the 7th percentile – i.e., 7% 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 57,802 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 453 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.