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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Big data for development: applications and techniques
|
|---|---|
| Published in |
Big Data Analytics, July 2016
|
| DOI | 10.1186/s41044-016-0002-4 |
| Authors |
Anwaar Ali, Junaid Qadir, Raihan ur Rasool, Arjuna Sathiaseelan, Andrej Zwitter, Jon Crowcroft |
X Demographics
The data shown below were collected from the profiles of 11 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 States | 2 | 18% |
| Greece | 1 | 9% |
| Mexico | 1 | 9% |
| United Kingdom | 1 | 9% |
| Pakistan | 1 | 9% |
| Netherlands | 1 | 9% |
| Unknown | 4 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 73% |
| Scientists | 2 | 18% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 346 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Unknown | 345 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 71 | 21% |
| Student > Ph. D. Student | 45 | 13% |
| Student > Bachelor | 26 | 8% |
| Researcher | 22 | 6% |
| Student > Doctoral Student | 20 | 6% |
| Other | 59 | 17% |
| Unknown | 103 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 107 | 31% |
| Social Sciences | 31 | 9% |
| Business, Management and Accounting | 28 | 8% |
| Engineering | 26 | 8% |
| Economics, Econometrics and Finance | 9 | 3% |
| Other | 30 | 9% |
| Unknown | 115 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 04 April 2024.
All research outputs
#2,635,482
of 24,654,673 outputs
Outputs from Big Data Analytics
#3
of 31 outputs
Outputs of similar age
#46,502
of 359,128 outputs
Outputs of similar age from Big Data Analytics
#2
of 4 outputs
Altmetric has tracked 24,654,673 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 31 research outputs from this source. They receive a mean Attention Score of 3.7. This one scored the same or higher as 28 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 359,128 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.