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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Modelling of trends in Twitter using retweet graph dynamics
|
|---|---|
| Chapter number | 11 |
| Book title |
Algorithms and Models for the Web Graph
|
| Published in |
arXiv, January 2015
|
| DOI | 10.1007/978-3-319-13123-8_11 |
| Book ISBNs |
978-3-31-913122-1, 978-3-31-913123-8
|
| Authors |
Marijn ten Thij, Tanneke Ouboter, Daniël Worm, Nelly Litvak, Hans van den Berg, Sandjai Bhulai, Daniel Worm |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ecuador | 1 | 10% |
| Korea, Republic of | 1 | 10% |
| United States | 1 | 10% |
| Switzerland | 1 | 10% |
| Unknown | 6 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 50% |
| Members of the public | 5 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 3% |
| Russia | 1 | 3% |
| Unknown | 29 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 26% |
| Student > Master | 4 | 13% |
| Lecturer | 4 | 13% |
| Researcher | 3 | 10% |
| Professor > Associate Professor | 2 | 6% |
| Other | 6 | 19% |
| Unknown | 4 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 42% |
| Physics and Astronomy | 4 | 13% |
| Mathematics | 3 | 10% |
| Agricultural and Biological Sciences | 2 | 6% |
| Engineering | 2 | 6% |
| Other | 3 | 10% |
| Unknown | 4 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 10 June 2015.
All research outputs
#6,331,601
of 25,595,500 outputs
Outputs from arXiv
#99,248
of 931,855 outputs
Outputs of similar age
#78,314
of 362,778 outputs
Outputs of similar age from arXiv
#733
of 10,514 outputs
Altmetric has tracked 25,595,500 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 931,855 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 89% 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 362,778 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 78% of its contemporaries.
We're also able to compare this research output to 10,514 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 93% of its contemporaries.