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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Intricate Knots in Proteins: Function and Evolution
|
|---|---|
| Published in |
PLoS Computational Biology, September 2006
|
| DOI | 10.1371/journal.pcbi.0020122 |
| Pubmed ID | |
| Authors |
Peter Virnau, Leonid A Mirny, Mehran Kardar |
| Abstract |
Our investigation of knotted structures in the Protein Data Bank reveals the most complicated knot discovered to date. We suggest that the occurrence of this knot in a human ubiquitin hydrolase might be related to the role of the enzyme in protein degradation. While knots are usually preserved among homologues, we also identify an exception in a transcarbamylase. This allows us to exemplify the function of knots in proteins and to suggest how they may have been created. |
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 175 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 3% |
| Germany | 2 | 1% |
| Italy | 2 | 1% |
| Spain | 2 | 1% |
| Norway | 1 | <1% |
| Brazil | 1 | <1% |
| Canada | 1 | <1% |
| France | 1 | <1% |
| United Kingdom | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 158 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 37 | 21% |
| Student > Ph. D. Student | 36 | 21% |
| Student > Master | 25 | 14% |
| Student > Bachelor | 19 | 11% |
| Professor > Associate Professor | 12 | 7% |
| Other | 30 | 17% |
| Unknown | 16 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 54 | 31% |
| Physics and Astronomy | 30 | 17% |
| Chemistry | 30 | 17% |
| Biochemistry, Genetics and Molecular Biology | 19 | 11% |
| Computer Science | 6 | 3% |
| Other | 18 | 10% |
| Unknown | 18 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 26 August 2021.
All research outputs
#3,212,427
of 25,374,647 outputs
Outputs from PLoS Computational Biology
#2,840
of 8,960 outputs
Outputs of similar age
#7,670
of 87,115 outputs
Outputs of similar age from PLoS Computational Biology
#7
of 34 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has gotten more attention than average, scoring higher than 68% 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 87,115 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 91% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.