| Title |
Internet of Things is a revolutionary approach for future technology enhancement: a review
|
|---|---|
| Published in |
Journal of Big Data, December 2019
|
| DOI | 10.1186/s40537-019-0268-2 |
| Authors |
Sachin Kumar, Prayag Tiwari, Mikhail Zymbler |
X Demographics
The data shown below were collected from the profiles of 37 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 4 | 11% |
| United States | 4 | 11% |
| Italy | 2 | 5% |
| Nigeria | 1 | 3% |
| Venezuela, Bolivarian Republic of | 1 | 3% |
| Australia | 1 | 3% |
| Pakistan | 1 | 3% |
| Germany | 1 | 3% |
| United Kingdom | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 20 | 54% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 34 | 92% |
| Scientists | 2 | 5% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 2,117 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2117 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 182 | 9% |
| Student > Master | 172 | 8% |
| Student > Ph. D. Student | 114 | 5% |
| Lecturer | 85 | 4% |
| Unspecified | 71 | 3% |
| Other | 257 | 12% |
| Unknown | 1236 | 58% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 283 | 13% |
| Engineering | 239 | 11% |
| Unspecified | 69 | 3% |
| Business, Management and Accounting | 65 | 3% |
| Social Sciences | 33 | 2% |
| Other | 162 | 8% |
| Unknown | 1266 | 60% |
Attention Score in Context
This research output has an Altmetric Attention Score of 43. 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 14 July 2023.
All research outputs
#939,198
of 25,145,981 outputs
Outputs from Journal of Big Data
#20
of 378 outputs
Outputs of similar age
#22,600
of 473,038 outputs
Outputs of similar age from Journal of Big Data
#3
of 17 outputs
Altmetric has tracked 25,145,981 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 378 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has done particularly well, scoring higher than 94% 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 473,038 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.