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Mendeley readers
Attention Score in Context
| Title |
MIMOX: a web tool for phage display based epitope mapping
|
|---|---|
| Published in |
BMC Bioinformatics, October 2006
|
| DOI | 10.1186/1471-2105-7-451 |
| Pubmed ID | |
| Authors |
Jian Huang, Alex Gutteridge, Wataru Honda, Minoru Kanehisa |
| Abstract |
Phage display is widely used in basic research such as the exploration of protein-protein interaction sites and networks, and applied research such as the development of new drugs, vaccines, and diagnostics. It has also become a promising method for epitope mapping. Research on new algorithms that assist and automate phage display based epitope mapping has attracted many groups. Most of the existing tools have not been implemented as an online service until now however, making it less convenient for the community to access, utilize, and evaluate them. |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 2 | 2% |
| France | 1 | 1% |
| Austria | 1 | 1% |
| Australia | 1 | 1% |
| Sweden | 1 | 1% |
| India | 1 | 1% |
| United Kingdom | 1 | 1% |
| Belgium | 1 | 1% |
| Unknown | 72 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 25 | 31% |
| Student > Ph. D. Student | 13 | 16% |
| Student > Master | 9 | 11% |
| Professor > Associate Professor | 6 | 7% |
| Student > Bachelor | 5 | 6% |
| Other | 17 | 21% |
| Unknown | 6 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 32 | 40% |
| Biochemistry, Genetics and Molecular Biology | 14 | 17% |
| Immunology and Microbiology | 7 | 9% |
| Computer Science | 6 | 7% |
| Medicine and Dentistry | 4 | 5% |
| Other | 12 | 15% |
| Unknown | 6 | 7% |
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 30 March 2021.
All research outputs
#7,452,489
of 22,783,848 outputs
Outputs from BMC Bioinformatics
#3,021
of 7,279 outputs
Outputs of similar age
#23,188
of 66,313 outputs
Outputs of similar age from BMC Bioinformatics
#9
of 44 outputs
Altmetric has tracked 22,783,848 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 7,279 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 66,313 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.