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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predicting scientific success based on coauthorship networks
|
|---|---|
| Published in |
EPJ Data Science, September 2014
|
| DOI | 10.1140/epjds/s13688-014-0009-x |
| Authors |
Emre Sarigöl, René Pfitzner, Ingo Scholtes, Antonios Garas, Frank Schweitzer |
X Demographics
The data shown below were collected from the profiles of 30 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 | 6 | 20% |
| Switzerland | 2 | 7% |
| Australia | 1 | 3% |
| Turkey | 1 | 3% |
| United Kingdom | 1 | 3% |
| Sweden | 1 | 3% |
| Germany | 1 | 3% |
| Japan | 1 | 3% |
| France | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 14 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 15 | 50% |
| Members of the public | 14 | 47% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 207 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 3 | 1% |
| Germany | 2 | <1% |
| Spain | 2 | <1% |
| United States | 2 | <1% |
| United Kingdom | 2 | <1% |
| Indonesia | 1 | <1% |
| Italy | 1 | <1% |
| Australia | 1 | <1% |
| Brazil | 1 | <1% |
| Other | 9 | 4% |
| Unknown | 183 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 60 | 29% |
| Researcher | 28 | 14% |
| Student > Master | 21 | 10% |
| Other | 13 | 6% |
| Professor | 13 | 6% |
| Other | 49 | 24% |
| Unknown | 23 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 66 | 32% |
| Social Sciences | 24 | 12% |
| Physics and Astronomy | 16 | 8% |
| Business, Management and Accounting | 12 | 6% |
| Mathematics | 11 | 5% |
| Other | 47 | 23% |
| Unknown | 31 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 11 April 2020.
All research outputs
#1,334,018
of 24,842,061 outputs
Outputs from EPJ Data Science
#117
of 418 outputs
Outputs of similar age
#14,421
of 257,912 outputs
Outputs of similar age from EPJ Data Science
#4
of 15 outputs
Altmetric has tracked 24,842,061 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 418 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.5. This one has gotten more attention than average, scoring higher than 72% 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 257,912 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 94% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.