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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Foundations of Temporal Text Networks
|
|---|---|
| Published in |
Applied Network Science, August 2018
|
| DOI | 10.1007/s41109-018-0082-3 |
| Pubmed ID | |
| Authors |
Davide Vega, Matteo Magnani |
X Demographics
The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 4 | 29% |
| Zimbabwe | 1 | 7% |
| United States | 1 | 7% |
| Russia | 1 | 7% |
| United Kingdom | 1 | 7% |
| Canada | 1 | 7% |
| Unknown | 5 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 43% |
| Members of the public | 6 | 43% |
| Science communicators (journalists, bloggers, editors) | 2 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 23% |
| Student > Master | 5 | 13% |
| Researcher | 5 | 13% |
| Professor > Associate Professor | 4 | 10% |
| Student > Bachelor | 3 | 8% |
| Other | 6 | 15% |
| Unknown | 7 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 12 | 31% |
| Social Sciences | 6 | 15% |
| Arts and Humanities | 2 | 5% |
| Engineering | 2 | 5% |
| Business, Management and Accounting | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 12 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 23 January 2024.
All research outputs
#3,542,903
of 25,217,627 outputs
Outputs from Applied Network Science
#94
of 580 outputs
Outputs of similar age
#66,075
of 336,973 outputs
Outputs of similar age from Applied Network Science
#8
of 28 outputs
Altmetric has tracked 25,217,627 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 580 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has done well, scoring higher than 83% 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 336,973 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.