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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predicting extreme sub-hourly precipitation intensification based on temperature shifts
|
|---|---|
| Published in |
Hydrology & Earth System Sciences, January 2024
|
| DOI | 10.5194/hess-28-375-2024 |
| Authors |
Francesco Marra, Marika Koukoula, Antonio Canale, Nadav Peleg |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Guatemala | 1 | 8% |
| Germany | 1 | 8% |
| Italy | 1 | 8% |
| Brazil | 1 | 8% |
| United States | 1 | 8% |
| South Africa | 1 | 8% |
| Unknown | 7 | 54% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 62% |
| Scientists | 4 | 31% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 31% |
| Researcher | 3 | 23% |
| Student > Ph. D. Student | 2 | 15% |
| Student > Master | 1 | 8% |
| Unspecified | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 1 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 31% |
| Mathematics | 4 | 31% |
| Environmental Science | 2 | 15% |
| Unspecified | 1 | 8% |
| Unknown | 2 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 38. 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 28 April 2024.
All research outputs
#1,079,178
of 25,738,558 outputs
Outputs from Hydrology & Earth System Sciences
#68
of 3,284 outputs
Outputs of similar age
#16,379
of 346,501 outputs
Outputs of similar age from Hydrology & Earth System Sciences
#3
of 75 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,284 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done particularly well, scoring higher than 97% 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 346,501 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 75 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 96% of its contemporaries.