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Mendeley readers
Attention Score in Context
Title |
Introduction: selected extended articles from the 2nd International Workshop on Semantics-Powered Data Analytics (SEPDA 2017)
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Published in |
BMC Medical Informatics and Decision Making, July 2018
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DOI | 10.1186/s12911-018-0624-8 |
Pubmed ID | |
Authors |
Zhe He, Cui Tao, Jiang Bian, Rui Zhang, Jingshan Huang |
Abstract |
In this editorial, we first summarize the 2nd International Workshop on Semantics-Powered Data Analytics (SEPDA 2017) held on November 13, 2017 in Kansas City, Missouri, U.S.A., and then briefly introduce 13 research articles included in this supplement issue, covering topics such as Semantic Integration, Deep Learning, Knowledge Base Construction, and Natural Language Processing. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 21 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 14% |
Researcher | 3 | 14% |
Student > Master | 3 | 14% |
Other | 2 | 10% |
Lecturer | 2 | 10% |
Other | 4 | 19% |
Unknown | 4 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 8 | 38% |
Psychology | 2 | 10% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
Arts and Humanities | 1 | 5% |
Medicine and Dentistry | 1 | 5% |
Other | 1 | 5% |
Unknown | 7 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 29 July 2018.
All research outputs
#15,542,250
of 23,098,660 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,329
of 2,013 outputs
Outputs of similar age
#209,544
of 329,730 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#16
of 27 outputs
Altmetric has tracked 23,098,660 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,013 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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 329,730 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.