| Title |
Structural genomics for membrane proteins
|
|---|---|
| Published in |
Cellular and Molecular Life Sciences, September 2006
|
| DOI | 10.1007/s00018-006-6252-y |
| Pubmed ID | |
| Authors |
K. Lundstrom |
| Abstract |
Structure-based drug discovery has proven useful in improving and shortening the drug development process. The approach of structural genomics to study a large number of targets in parallel has been commonly applied to protein families and even whole genomes. Paradoxically, although membrane proteins represent the largest type of drug targets, up to 70% today, determination of their structure has been modest compared to that of soluble proteins. Because membrane proteins are important for drug discovery an emphasis has been placed on developing technologies and methods to determine membrane protein structures. Several structural genomics initiatives have been established, focusing on the structural biology of membrane proteins. |
Mendeley readers
The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 2% |
| United Kingdom | 2 | 2% |
| United States | 2 | 2% |
| Australia | 1 | <1% |
| Sweden | 1 | <1% |
| France | 1 | <1% |
| Canada | 1 | <1% |
| Switzerland | 1 | <1% |
| Greece | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 108 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 35 | 29% |
| Researcher | 31 | 26% |
| Student > Master | 14 | 12% |
| Professor | 9 | 7% |
| Student > Bachelor | 8 | 7% |
| Other | 17 | 14% |
| Unknown | 7 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 51 | 42% |
| Chemistry | 18 | 15% |
| Biochemistry, Genetics and Molecular Biology | 14 | 12% |
| Engineering | 8 | 7% |
| Materials Science | 4 | 3% |
| Other | 14 | 12% |
| Unknown | 12 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 16 September 2020.
All research outputs
#7,845,540
of 23,794,258 outputs
Outputs from Cellular and Molecular Life Sciences
#1,655
of 4,151 outputs
Outputs of similar age
#24,240
of 68,712 outputs
Outputs of similar age from Cellular and Molecular Life Sciences
#17
of 29 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,151 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 38th percentile – i.e., 38% 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 68,712 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.