↓ Skip to main content

The use of Sentinel-1 OCN products for preliminary deep offshore wind energy potential estimation: A case study on Ionian sea

Overview of attention for article published in Engineering Science and Technology, an International Journal, November 2022
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
2 X users

Readers on

mendeley
40 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.
Article details
Title
The use of Sentinel-1 OCN products for preliminary deep offshore wind energy potential estimation: A case study on Ionian sea
Published in
Engineering Science and Technology, an International Journal, November 2022
DOI 10.1016/j.jestch.2022.101117
Authors

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 7 18%
Researcher 3 8%
Student > Master 2 5%
Librarian 1 3%
Lecturer 1 3%
Other 1 3%
Unknown 25 63%
Readers by discipline
Readers by discipline Count As %
Engineering 6 15%
Energy 3 8%
Earth and Planetary Sciences 2 5%
Philosophy 1 3%
Business, Management and Accounting 1 3%
Other 1 3%
Unknown 26 65%
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 07 March 2022.
All research outputs
#18,852,030
of 27,409,178 outputs
Outputs from Engineering Science and Technology, an International Journal
#84
of 143 outputs
Outputs of similar age
#263,687
of 450,141 outputs
Outputs of similar age from Engineering Science and Technology, an International Journal
#2
of 6 outputs
Altmetric has tracked 27,409,178 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 143 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 41st percentile – i.e., 41% 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 450,141 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 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.