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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Evolution of Intent and Social Influence Networks and Their Significance in Detecting COVID-19 Disinformation Actors on Social Media
|
|---|---|
| Chapter number | 3 |
| Book title |
Social, Cultural, and Behavioral Modeling
|
| Published in |
Lecture notes in computer science, September 2022
|
| DOI | 10.1007/978-3-031-17114-7_3 |
| Book ISBNs |
978-3-03-117113-0, 978-3-03-117114-7
|
| Authors |
Chathika Gunaratne, Debraj De, Gautam Thakur, Chathurani Senevirathna, William Rand, Martin Smyth, Monica Lipscomb, Gunaratne, Chathika, De, Debraj, Thakur, Gautam, Senevirathna, Chathurani, Rand, William, Smyth, Martin, Lipscomb, Monica, Gunaratne, Chathika , De, Debraj , Thakur, Gautam Malviya , Senevirathna, Chathurani , Rand, William |
X Demographics
The data shown below were collected from the profiles of 8 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 | 2 | 25% |
| Australia | 1 | 13% |
| Ukraine | 1 | 13% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 3 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 1 | 20% |
| Other | 1 | 20% |
| Student > Master | 1 | 20% |
| Unknown | 2 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 1 | 20% |
| Decision Sciences | 1 | 20% |
| Unknown | 3 | 60% |
Attention Score in Context
This research output has an Altmetric Attention Score of 68. 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 November 2023.
All research outputs
#639,786
of 25,657,205 outputs
Outputs from Lecture notes in computer science
#60
of 8,171 outputs
Outputs of similar age
#15,464
of 436,111 outputs
Outputs of similar age from Lecture notes in computer science
#1
of 5 outputs
Altmetric has tracked 25,657,205 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,171 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. 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 436,111 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 96% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them