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X Demographics
Mendeley readers
Attention Score in Context
| Title |
DATS, the data tag suite to enable discoverability of datasets
|
|---|---|
| Published in |
Scientific Data, June 2017
|
| DOI | 10.1038/sdata.2017.59 |
| Pubmed ID | |
| Authors |
Susanna-Assunta Sansone, Alejandra Gonzalez-Beltran, Philippe Rocca-Serra, George Alter, Jeffrey S. Grethe, Hua Xu, Ian M. Fore, Jared Lyle, Anupama E. Gururaj, Xiaoling Chen, Hyeon-eui Kim, Nansu Zong, Yueling Li, Ruiling Liu, I. Burak Ozyurt, Lucila Ohno-Machado |
| Abstract |
Today's science increasingly requires effective ways to find and access existing datasets that are distributed across a range of repositories. For researchers in the life sciences, discoverability of datasets may soon become as essential as identifying the latest publications via PubMed. Through an international collaborative effort funded by the National Institutes of Health (NIH)'s Big Data to Knowledge (BD2K) initiative, we have designed and implemented the DAta Tag Suite (DATS) model to support the DataMed data discovery index. DataMed's goal is to be for data what PubMed has been for the scientific literature. Akin to the Journal Article Tag Suite (JATS) used in PubMed, the DATS model enables submission of metadata on datasets to DataMed. DATS has a core set of elements, which are generic and applicable to any type of dataset, and an extended set that can accommodate more specialized data types. DATS is a platform-independent model also available as an annotated serialization in schema.org, which in turn is widely used by major search engines like Google, Microsoft, Yahoo and Yandex. |
X Demographics
The data shown below were collected from the profiles of 59 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 Kingdom | 14 | 24% |
| United States | 6 | 10% |
| Italy | 2 | 3% |
| Switzerland | 2 | 3% |
| Austria | 1 | 2% |
| Ireland | 1 | 2% |
| Canada | 1 | 2% |
| Germany | 1 | 2% |
| Netherlands | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 27 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 40 | 68% |
| Scientists | 12 | 20% |
| Science communicators (journalists, bloggers, editors) | 5 | 8% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
| Unknown | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Uruguay | 1 | 1% |
| Netherlands | 1 | 1% |
| Finland | 1 | 1% |
| Sweden | 1 | 1% |
| Unknown | 94 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 34 | 34% |
| Student > Ph. D. Student | 13 | 13% |
| Other | 12 | 12% |
| Student > Master | 12 | 12% |
| Professor > Associate Professor | 6 | 6% |
| Other | 13 | 13% |
| Unknown | 10 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 26 | 26% |
| Agricultural and Biological Sciences | 20 | 20% |
| Biochemistry, Genetics and Molecular Biology | 7 | 7% |
| Social Sciences | 7 | 7% |
| Medicine and Dentistry | 7 | 7% |
| Other | 18 | 18% |
| Unknown | 15 | 15% |
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 18 September 2018.
All research outputs
#1,085,521
of 24,336,902 outputs
Outputs from Scientific Data
#464
of 2,908 outputs
Outputs of similar age
#22,563
of 321,005 outputs
Outputs of similar age from Scientific Data
#7
of 37 outputs
Altmetric has tracked 24,336,902 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 2,908 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.6. This one has done well, scoring higher than 84% 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 321,005 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 37 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.