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Mendeley readers
Attention Score in Context
| Title |
Glycoproteomic and glycomic databases
|
|---|---|
| Published in |
Clinical Proteomics, April 2014
|
| DOI | 10.1186/1559-0275-11-15 |
| Pubmed ID | |
| Authors |
Deniz Baycin Hizal, Daniel Wolozny, Joseph Colao, Elena Jacobson, Yuan Tian, Sharon S Krag, Michael J Betenbaugh, Hui Zhang |
| Abstract |
Protein glycosylation serves critical roles in the cellular and biological processes of many organisms. Aberrant glycosylation has been associated with many illnesses such as hereditary and chronic diseases like cancer, cardiovascular diseases, neurological disorders, and immunological disorders. Emerging mass spectrometry (MS) technologies that enable the high-throughput identification of glycoproteins and glycans have accelerated the analysis and made possible the creation of dynamic and expanding databases. Although glycosylation-related databases have been established by many laboratories and institutions, they are not yet widely known in the community. Our study reviews 15 different publicly available databases and identifies their key elements so that users can identify the most applicable platform for their analytical needs. These databases include biological information on the experimentally identified glycans and glycopeptides from various cells and organisms such as human, rat, mouse, fly and zebrafish. The features of these databases - 7 for glycoproteomic data, 6 for glycomic data, and 2 for glycan binding proteins are summarized including the enrichment techniques that are used for glycoproteome and glycan identification. Furthermore databases such as Unipep, GlycoFly, GlycoFish recently established by our group are introduced. The unique features of each database, such as the analytical methods used and bioinformatical tools available are summarized. This information will be a valuable resource for the glycobiology community as it presents the analytical methods and glycosylation related databases together in one compendium. It will also represent a step towards the desired long term goal of integrating the different databases of glycosylation in order to characterize and categorize glycoproteins and glycans better for biomedical research. |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 1% |
| Ireland | 1 | 1% |
| Brazil | 1 | 1% |
| United Kingdom | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 73 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 29% |
| Researcher | 11 | 14% |
| Student > Master | 7 | 9% |
| Student > Bachelor | 6 | 8% |
| Student > Doctoral Student | 6 | 8% |
| Other | 19 | 24% |
| Unknown | 6 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 27 | 35% |
| Biochemistry, Genetics and Molecular Biology | 18 | 23% |
| Computer Science | 6 | 8% |
| Chemistry | 6 | 8% |
| Medicine and Dentistry | 4 | 5% |
| Other | 9 | 12% |
| Unknown | 8 | 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 19 February 2015.
All research outputs
#7,443,503
of 22,754,104 outputs
Outputs from Clinical Proteomics
#91
of 281 outputs
Outputs of similar age
#74,445
of 227,157 outputs
Outputs of similar age from Clinical Proteomics
#4
of 7 outputs
Altmetric has tracked 22,754,104 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 281 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has gotten more attention than average, scoring higher than 58% 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 227,157 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.