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X Demographics
Mendeley readers
Attention Score in Context
Title |
Robust requirements gathering for ontologies in smart water systems
|
---|---|
Published in |
Requirements Engineering, July 2020
|
DOI | 10.1007/s00766-020-00335-z |
Authors |
Shaun Howell, Thomas Beach, Yacine Rezgui |
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 % |
---|---|---|
United Kingdom | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 68 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 13 | 19% |
Student > Ph. D. Student | 9 | 13% |
Student > Doctoral Student | 9 | 13% |
Student > Postgraduate | 3 | 4% |
Student > Bachelor | 2 | 3% |
Other | 9 | 13% |
Unknown | 23 | 34% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 21 | 31% |
Engineering | 12 | 18% |
Social Sciences | 3 | 4% |
Agricultural and Biological Sciences | 1 | 1% |
Nursing and Health Professions | 1 | 1% |
Other | 4 | 6% |
Unknown | 26 | 38% |
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 08 March 2021.
All research outputs
#18,753,253
of 23,245,494 outputs
Outputs from Requirements Engineering
#177
of 200 outputs
Outputs of similar age
#301,867
of 399,902 outputs
Outputs of similar age from Requirements Engineering
#5
of 5 outputs
Altmetric has tracked 23,245,494 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 200 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 2nd percentile – i.e., 2% 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 399,902 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.