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Mendeley readers
Attention Score in Context
| Chapter title |
Protein Structure Modeling with MODELLER
|
|---|---|
| Chapter number | 4 |
| Book title |
Functional Genomics
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-7231-9_4 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7230-2, 978-1-4939-7231-9
|
| Authors |
Benjamin Webb, Andrej Sali, Webb, Benjamin, Sali, Andrej |
| Abstract |
Genome sequencing projects have resulted in a rapid increase in the number of known protein sequences. In contrast, only about one-hundredth of these sequences have been characterized at atomic resolution using experimental structure determination methods. Computational protein structure modeling techniques have the potential to bridge this sequence-structure gap. In the following chapter, we present an example that illustrates the use of MODELLER to construct a comparative model for a protein with unknown structure. Automation of a similar protocol has resulted in models of useful accuracy for domains in more than half of all known protein sequences. |
Mendeley readers
The data shown below were compiled from readership statistics for 199 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 199 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 36 | 18% |
| Researcher | 28 | 14% |
| Student > Master | 28 | 14% |
| Student > Bachelor | 24 | 12% |
| Student > Doctoral Student | 14 | 7% |
| Other | 31 | 16% |
| Unknown | 38 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 71 | 36% |
| Agricultural and Biological Sciences | 28 | 14% |
| Chemistry | 12 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 8 | 4% |
| Engineering | 6 | 3% |
| Other | 27 | 14% |
| Unknown | 47 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 13 May 2022.
All research outputs
#3,826,294
of 23,005,189 outputs
Outputs from Methods in molecular biology
#974
of 13,159 outputs
Outputs of similar age
#76,493
of 421,224 outputs
Outputs of similar age from Methods in molecular biology
#113
of 1,074 outputs
Altmetric has tracked 23,005,189 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,159 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 92% 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 421,224 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 1,074 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.