Social Informatics
Springer, Cham
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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
On Profiling Bots in Social Media
|
|---|---|
| Chapter number | 6 |
| Book title |
Social Informatics
|
| Published in |
Lecture notes in computer science, October 2016
|
| DOI | 10.1007/978-3-319-47880-7_6 |
| Book ISBNs |
978-3-31-947879-1, 978-3-31-947880-7
|
| Authors |
Richard Jayadi Oentaryo, Arinto Murdopo, Philips Kokoh Prasetyo, Ee-Peng Lim, Richard J. Oentaryo, Philips K. Prasetyo, Oentaryo, Richard J., Murdopo, Arinto, Prasetyo, Philips K., Lim, Ee-Peng |
X Demographics
The data shown below were collected from the profiles of 7 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 | 4 | 57% |
| Norway | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 2 | 29% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | 1% |
| Austria | 1 | 1% |
| Unknown | 75 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 18 | 23% |
| Student > Ph. D. Student | 9 | 12% |
| Student > Bachelor | 6 | 8% |
| Student > Doctoral Student | 5 | 6% |
| Researcher | 5 | 6% |
| Other | 13 | 17% |
| Unknown | 21 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 27 | 35% |
| Social Sciences | 10 | 13% |
| Business, Management and Accounting | 5 | 6% |
| Engineering | 4 | 5% |
| Unspecified | 2 | 3% |
| Other | 7 | 9% |
| Unknown | 22 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 09 June 2017.
All research outputs
#2,279,542
of 24,547,718 outputs
Outputs from Lecture notes in computer science
#403
of 8,158 outputs
Outputs of similar age
#39,263
of 320,875 outputs
Outputs of similar age from Lecture notes in computer science
#21
of 415 outputs
Altmetric has tracked 24,547,718 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,158 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 95% 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 320,875 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 87% of its contemporaries.
We're also able to compare this research output to 415 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 95% of its contemporaries.