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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Cross-linking BioThings APIs through JSON-LD to facilitate knowledge exploration
|
|---|---|
| Published in |
BMC Bioinformatics, February 2018
|
| DOI | 10.1186/s12859-018-2041-5 |
| Pubmed ID | |
| Authors |
Jiwen Xin, Cyrus Afrasiabi, Sebastien Lelong, Julee Adesara, Ginger Tsueng, Andrew I. Su, Chunlei Wu |
| Abstract |
Application Programming Interfaces (APIs) are now widely used to distribute biological data. And many popular biological APIs developed by many different research teams have adopted Javascript Object Notation (JSON) as their primary data format. While usage of a common data format offers significant advantages, that alone is not sufficient for rich integrative queries across APIs. Here, we have implemented JSON for Linking Data (JSON-LD) technology on the BioThings APIs that we have developed, MyGene.info , MyVariant.info and MyChem.info . JSON-LD provides a standard way to add semantic context to the existing JSON data structure, for the purpose of enhancing the interoperability between APIs. We demonstrated several use cases that were facilitated by semantic annotations using JSON-LD, including simpler and more precise query capabilities as well as API cross-linking. We believe that this pattern offers a generalizable solution for interoperability of APIs in the life sciences. |
X Demographics
The data shown below were collected from the profiles of 24 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 | 9 | 38% |
| Spain | 1 | 4% |
| France | 1 | 4% |
| India | 1 | 4% |
| Italy | 1 | 4% |
| Unknown | 11 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 17 | 71% |
| Scientists | 7 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 17% |
| Student > Master | 6 | 15% |
| Student > Ph. D. Student | 5 | 12% |
| Student > Doctoral Student | 4 | 10% |
| Student > Bachelor | 3 | 7% |
| Other | 8 | 20% |
| Unknown | 8 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 24% |
| Agricultural and Biological Sciences | 8 | 20% |
| Biochemistry, Genetics and Molecular Biology | 6 | 15% |
| Engineering | 4 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 10 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 08 November 2023.
All research outputs
#1,455,612
of 25,321,938 outputs
Outputs from BMC Bioinformatics
#196
of 7,672 outputs
Outputs of similar age
#33,848
of 452,936 outputs
Outputs of similar age from BMC Bioinformatics
#6
of 121 outputs
Altmetric has tracked 25,321,938 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,672 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. 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 452,936 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 121 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.