Title |
Predicting the temporal activity patterns of new venues
|
---|---|
Published in |
EPJ Data Science, May 2018
|
DOI | 10.1140/epjds/s13688-018-0142-z |
Pubmed ID | |
Authors |
Krittika D’Silva, Anastasios Noulas, Mirco Musolesi, Cecilia Mascolo, Max Sklar |
X Demographics
The data shown below were collected from the profiles of 36 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 | 10 | 28% |
United States | 4 | 11% |
Canada | 2 | 6% |
Chile | 1 | 3% |
Hong Kong | 1 | 3% |
Taiwan | 1 | 3% |
Australia | 1 | 3% |
France | 1 | 3% |
Unknown | 15 | 42% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 18 | 50% |
Members of the public | 16 | 44% |
Science communicators (journalists, bloggers, editors) | 1 | 3% |
Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 52 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 12 | 23% |
Student > Master | 5 | 10% |
Researcher | 4 | 8% |
Student > Bachelor | 4 | 8% |
Professor > Associate Professor | 4 | 8% |
Other | 9 | 17% |
Unknown | 14 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 11 | 21% |
Engineering | 8 | 15% |
Social Sciences | 4 | 8% |
Environmental Science | 2 | 4% |
Mathematics | 2 | 4% |
Other | 9 | 17% |
Unknown | 16 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 30. 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 30 January 2019.
All research outputs
#1,241,972
of 24,406,678 outputs
Outputs from EPJ Data Science
#104
of 403 outputs
Outputs of similar age
#27,496
of 333,566 outputs
Outputs of similar age from EPJ Data Science
#6
of 11 outputs
Altmetric has tracked 24,406,678 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 403 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 41.8. This one has gotten more attention than average, scoring higher than 74% 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 333,566 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 91% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.