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Mendeley readers
Attention Score in Context
| Title |
LRRML: a conformational database and an XML description of leucine-rich repeats (LRRs)
|
|---|---|
| Published in |
BMC Molecular and Cell Biology, November 2008
|
| DOI | 10.1186/1472-6807-8-47 |
| Pubmed ID | |
| Authors |
Tiandi Wei, Jing Gong, Ferdinand Jamitzky, Wolfgang M Heckl, Robert W Stark, Shaila C Rössle |
| Abstract |
Leucine-rich repeats (LRRs) are present in more than 6000 proteins. They are found in organisms ranging from viruses to eukaryotes and play an important role in protein-ligand interactions. To date, more than one hundred crystal structures of LRR containing proteins have been determined. This knowledge has increased our ability to use the crystal structures as templates to model LRR proteins with unknown structures. Since the individual three-dimensional LRR structures are not directly available from the established databases and since there are only a few detailed annotations for them, a conformational LRR database useful for homology modeling of LRR proteins is desirable. |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Korea, Republic of | 1 | 3% |
| India | 1 | 3% |
| Unknown | 37 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 28% |
| Student > Ph. D. Student | 9 | 23% |
| Student > Master | 5 | 13% |
| Other | 3 | 8% |
| Professor | 3 | 8% |
| Other | 6 | 15% |
| Unknown | 2 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 49% |
| Biochemistry, Genetics and Molecular Biology | 10 | 26% |
| Chemistry | 3 | 8% |
| Engineering | 2 | 5% |
| Computer Science | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 2 | 5% |
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 24 December 2017.
All research outputs
#8,534,976
of 25,374,647 outputs
Outputs from BMC Molecular and Cell Biology
#334
of 1,233 outputs
Outputs of similar age
#37,324
of 105,310 outputs
Outputs of similar age from BMC Molecular and Cell Biology
#7
of 27 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,233 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 48th percentile – i.e., 48% 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 105,310 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.