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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Glycomics@ExPASy: Bridging the Gap*
|
|---|---|
| Published in |
Molecular and Cellular Proteomics, August 2018
|
| DOI | 10.1074/mcp.ra118.000799 |
| Pubmed ID | |
| Authors |
Julien Mariethoz, Davide Alocci, Alessandra Gastaldello, Oliver Horlacher, Elisabeth Gasteiger, Miguel Rojas-Macias, Niclas G. Karlsson, Nicolle H. Packer, Frédérique Lisacek |
| Abstract |
Glycomics@ExPASy (https://www.expasy.org/glycomics) is the glycomics tab of ExPASy, the server of SIB Swiss Institute of Bioinformatics. It was created in 2016 to centralise web-based glycoinformatics resources developed within an international network of glycoscientists. The hosted collection currently includes mainly databases and tools created and maintained at SIB but also links to a range of reference resources popular in the glycomics community. The philosophy of our toolbox is that it should be {glycoscientist AND protein scientist}-friendly with the aim of (a) popularising the use of bioinformatics in glycobiology and (b) emphasising the relationship between glycobiology and protein-oriented bioinformatics resources. The scarcity of data bridging these two disciplines led us to design tools as interactive as possible based on database connectivity in order to facilitate data exploration and support hypothesis building. Glycomics@ExPASy was designed, and is developed, with a long-term vision in close collaboration with glycoscientists to meet as closely as possible the growing needs of the community for glycoinformatics. |
X Demographics
The data shown below were collected from the profiles of 49 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 12 | 24% |
| Switzerland | 3 | 6% |
| Sweden | 2 | 4% |
| Spain | 2 | 4% |
| Mexico | 1 | 2% |
| India | 1 | 2% |
| Canada | 1 | 2% |
| Peru | 1 | 2% |
| Georgia | 1 | 2% |
| Other | 4 | 8% |
| Unknown | 21 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 28 | 57% |
| Scientists | 18 | 37% |
| Science communicators (journalists, bloggers, editors) | 2 | 4% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 16% |
| Student > Ph. D. Student | 7 | 16% |
| Student > Bachelor | 4 | 9% |
| Professor | 4 | 9% |
| Other | 4 | 9% |
| Other | 6 | 14% |
| Unknown | 11 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 16 | 37% |
| Agricultural and Biological Sciences | 4 | 9% |
| Engineering | 2 | 5% |
| Medicine and Dentistry | 2 | 5% |
| Computer Science | 2 | 5% |
| Other | 3 | 7% |
| Unknown | 14 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 35. 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 17 September 2019.
All research outputs
#1,177,426
of 25,806,080 outputs
Outputs from Molecular and Cellular Proteomics
#87
of 3,248 outputs
Outputs of similar age
#24,246
of 342,477 outputs
Outputs of similar age from Molecular and Cellular Proteomics
#7
of 53 outputs
Altmetric has tracked 25,806,080 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,248 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done particularly well, scoring higher than 97% 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 342,477 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 92% of its contemporaries.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.