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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
P-IOTA: A Cloud-Based Geographically Distributed Threat Alert System That Leverages P4 and IOTA
|
|---|---|
| Published in |
Sensors, March 2023
|
| DOI | 10.3390/s23062955 |
| Authors |
Amir Al Sadi, Carlo Mazzocca, Andrea Melis, Rebecca Montanari, Marco Prandini, Nicolò Romandini |
Twitter Demographics
The data shown below were collected from the profiles of 186 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 23 | 12% |
| United Kingdom | 7 | 4% |
| United States | 6 | 3% |
| Spain | 3 | 2% |
| Canada | 3 | 2% |
| Denmark | 2 | 1% |
| Finland | 2 | 1% |
| Maldives | 1 | <1% |
| Italy | 1 | <1% |
| Other | 10 | 5% |
| Unknown | 128 | 69% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 183 | 98% |
| Science communicators (journalists, bloggers, editors) | 1 | <1% |
| Scientists | 1 | <1% |
| Practitioners (doctors, other healthcare professionals) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 5 | 17% |
| Lecturer | 3 | 10% |
| Student > Ph. D. Student | 3 | 10% |
| Student > Postgraduate | 1 | 3% |
| Student > Master | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 17 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 5 | 17% |
| Engineering | 5 | 17% |
| Computer Science | 2 | 7% |
| Chemistry | 1 | 3% |
| Unknown | 17 | 57% |
Attention Score in Context
This research output has an Altmetric Attention Score of 153. 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 10 September 2023.
All research outputs
#254,988
of 24,525,534 outputs
Outputs from Sensors
#31
of 22,751 outputs
Outputs of similar age
#6,165
of 408,873 outputs
Outputs of similar age from Sensors
#3
of 625 outputs
Altmetric has tracked 24,525,534 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 22,751 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done particularly well, scoring higher than 99% 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 408,873 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 98% of its contemporaries.
We're also able to compare this research output to 625 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.