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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The extracellular Leucine-Rich Repeat superfamily; a comparative survey and analysis of evolutionary relationships and expression patterns
|
|---|---|
| Published in |
BMC Genomics, September 2007
|
| DOI | 10.1186/1471-2164-8-320 |
| Pubmed ID | |
| Authors |
Jackie Dolan, Karen Walshe, Samantha Alsbury, Karsten Hokamp, Sean O'Keeffe, Tatsuya Okafuji, Suzanne FC Miller, Guy Tear, Kevin J Mitchell |
| Abstract |
Leucine-rich repeats (LRRs) are highly versatile and evolvable protein-ligand interaction motifs found in a large number of proteins with diverse functions, including innate immunity and nervous system development. Here we catalogue all of the extracellular LRR (eLRR) proteins in worms, flies, mice and humans. We use convergent evidence from several transmembrane-prediction and motif-detection programs, including a customised algorithm, LRRscan, to identify eLRR proteins, and a hierarchical clustering method based on TribeMCL to establish their evolutionary relationships. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 185 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 2% |
| India | 2 | 1% |
| United States | 2 | 1% |
| Denmark | 1 | <1% |
| Egypt | 1 | <1% |
| Japan | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 174 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 54 | 29% |
| Researcher | 28 | 15% |
| Student > Bachelor | 19 | 10% |
| Student > Master | 16 | 9% |
| Professor | 11 | 6% |
| Other | 36 | 19% |
| Unknown | 21 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 74 | 40% |
| Biochemistry, Genetics and Molecular Biology | 38 | 21% |
| Neuroscience | 16 | 9% |
| Medicine and Dentistry | 14 | 8% |
| Immunology and Microbiology | 5 | 3% |
| Other | 15 | 8% |
| Unknown | 23 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 09 November 2021.
All research outputs
#2,571,347
of 22,681,577 outputs
Outputs from BMC Genomics
#837
of 10,613 outputs
Outputs of similar age
#6,306
of 69,830 outputs
Outputs of similar age from BMC Genomics
#3
of 24 outputs
Altmetric has tracked 22,681,577 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,613 research outputs from this source. They receive a mean Attention Score of 4.7. 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 69,830 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 90% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.