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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Expressive modeling for trusted big data analytics: techniques and applications in sentiment analysis
|
|---|---|
| Published in |
Big Data Analytics, February 2017
|
| DOI | 10.1186/s41044-016-0018-9 |
| Authors |
Erik Tromp, Mykola Pechenizkiy, Mohamed Medhat Gaber |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 40% |
| Germany | 1 | 20% |
| India | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 25% |
| Student > Master | 6 | 12% |
| Lecturer | 5 | 10% |
| Professor | 4 | 8% |
| Student > Bachelor | 3 | 6% |
| Other | 11 | 22% |
| Unknown | 9 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 15 | 29% |
| Engineering | 9 | 18% |
| Business, Management and Accounting | 6 | 12% |
| Social Sciences | 3 | 6% |
| Linguistics | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 11 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 20 April 2019.
All research outputs
#6,902,860
of 22,950,943 outputs
Outputs from Big Data Analytics
#9
of 32 outputs
Outputs of similar age
#131,090
of 420,372 outputs
Outputs of similar age from Big Data Analytics
#1
of 3 outputs
Altmetric has tracked 22,950,943 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 32 research outputs from this source. They receive a mean Attention Score of 3.6. This one scored the same or higher as 23 of them.
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 420,372 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 3 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