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Introduction: selected extended articles from the 2nd International Workshop on Semantics-Powered Data Analytics (SEPDA 2017)

Overview of attention for article published in BMC Medical Informatics and Decision Making, July 2018
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Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
10 Mendeley
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Title
Introduction: selected extended articles from the 2nd International Workshop on Semantics-Powered Data Analytics (SEPDA 2017)
Published in
BMC Medical Informatics and Decision Making, July 2018
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.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 20%
Student > Bachelor 2 20%
Student > Ph. D. Student 2 20%
Professor 1 10%
Other 1 10%
Other 1 10%
Unknown 1 10%
Readers by discipline Count As %
Computer Science 5 50%
Psychology 2 20%
Pharmacology, Toxicology and Pharmaceutical Science 1 10%
Engineering 1 10%
Unknown 1 10%

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
#8,334,332
of 13,297,120 outputs
Outputs from BMC Medical Informatics and Decision Making
#828
of 1,201 outputs
Outputs of similar age
#160,145
of 268,279 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#6
of 10 outputs
Altmetric has tracked 13,297,120 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,201 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 21st percentile – i.e., 21% 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 268,279 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.