↓ Skip to main content

Big data driven co-occurring evidence discovery in chronic obstructive pulmonary disease patients

Overview of attention for article published in Journal of Big Data, April 2017
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
32 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Big data driven co-occurring evidence discovery in chronic obstructive pulmonary disease patients
Published in
Journal of Big Data, April 2017
DOI 10.1186/s40537-017-0067-6
Authors

Christopher Baechle, Ankur Agarwal, Xingquan Zhu

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 25%
Student > Ph. D. Student 5 16%
Student > Doctoral Student 2 6%
Librarian 2 6%
Researcher 2 6%
Other 4 13%
Unknown 9 28%
Readers by discipline Count As %
Computer Science 7 22%
Business, Management and Accounting 4 13%
Social Sciences 3 9%
Engineering 3 9%
Medicine and Dentistry 2 6%
Other 3 9%
Unknown 10 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 19 July 2017.
All research outputs
#13,551,243
of 22,971,207 outputs
Outputs from Journal of Big Data
#156
of 339 outputs
Outputs of similar age
#158,987
of 308,994 outputs
Outputs of similar age from Journal of Big Data
#1
of 7 outputs
Altmetric has tracked 22,971,207 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 339 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one has gotten more attention than average, scoring higher than 50% 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 308,994 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them