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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Handbook of Computational Social Science for Policy
|
|---|---|
| Published by |
arXiv, January 2023
|
| DOI | 10.1007/978-3-031-16624-2 |
| ISBNs |
978-3-03-116623-5, 978-3-03-116624-2
|
| Authors |
Zhijing Jin, Rada Mihalcea |
| Editors |
Eleonora Bertoni, Matteo Fontana, Lorenzo Gabrielli, Serena Signorelli, Michele Vespe |
X Demographics
The data shown below were collected from the profiles of 304 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 | 28 | 9% |
| United Kingdom | 20 | 7% |
| Italy | 12 | 4% |
| Spain | 12 | 4% |
| Germany | 10 | 3% |
| Brazil | 8 | 3% |
| Netherlands | 5 | 2% |
| France | 5 | 2% |
| Chile | 4 | 1% |
| Other | 71 | 23% |
| Unknown | 129 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 189 | 62% |
| Scientists | 99 | 33% |
| Science communicators (journalists, bloggers, editors) | 9 | 3% |
| Practitioners (doctors, other healthcare professionals) | 7 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 96 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 11% |
| Researcher | 9 | 9% |
| Student > Master | 9 | 9% |
| Unspecified | 7 | 7% |
| Student > Doctoral Student | 6 | 6% |
| Other | 19 | 20% |
| Unknown | 35 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 25 | 26% |
| Unspecified | 7 | 7% |
| Business, Management and Accounting | 6 | 6% |
| Engineering | 4 | 4% |
| Computer Science | 3 | 3% |
| Other | 10 | 10% |
| Unknown | 41 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 206. 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 2024.
All research outputs
#195,131
of 25,815,269 outputs
Outputs from arXiv
#2,064
of 946,233 outputs
Outputs of similar age
#5,122
of 480,858 outputs
Outputs of similar age from arXiv
#107
of 29,411 outputs
Altmetric has tracked 25,815,269 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 946,233 research outputs from this source. They receive a mean Attention Score of 4.3. 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 480,858 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 29,411 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.