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Mendeley readers
Attention Score in Context
| Title |
Computational identification of ubiquitylation sites from protein sequences
|
|---|---|
| Published in |
BMC Bioinformatics, July 2008
|
| DOI | 10.1186/1471-2105-9-310 |
| Pubmed ID | |
| Authors |
Chun-Wei Tung, Shinn-Ying Ho |
| Abstract |
Ubiquitylation plays an important role in regulating protein functions. Recently, experimental methods were developed toward effective identification of ubiquitylation sites. To efficiently explore more undiscovered ubiquitylation sites, this study aims to develop an accurate sequence-based prediction method to identify promising ubiquitylation sites. |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 2% |
| Turkey | 1 | 1% |
| Brazil | 1 | 1% |
| Israel | 1 | 1% |
| Taiwan | 1 | 1% |
| Unknown | 81 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 24% |
| Student > Ph. D. Student | 15 | 17% |
| Student > Bachelor | 9 | 10% |
| Student > Master | 9 | 10% |
| Other | 6 | 7% |
| Other | 15 | 17% |
| Unknown | 12 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 39 | 45% |
| Biochemistry, Genetics and Molecular Biology | 17 | 20% |
| Computer Science | 8 | 9% |
| Medicine and Dentistry | 3 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 2% |
| Other | 6 | 7% |
| Unknown | 12 | 14% |
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 23 July 2013.
All research outputs
#7,451,584
of 22,780,967 outputs
Outputs from BMC Bioinformatics
#3,020
of 7,277 outputs
Outputs of similar age
#28,359
of 81,198 outputs
Outputs of similar age from BMC Bioinformatics
#14
of 32 outputs
Altmetric has tracked 22,780,967 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 7,277 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% 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 81,198 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.