| Title |
Exploiting citation networks for large-scale author name disambiguation
|
|---|---|
| Published in |
EPJ Data Science, September 2014
|
| DOI | 10.1140/epjds/s13688-014-0011-3 |
| Authors |
Christian Schulz, Amin Mazloumian, Alexander M Petersen, Orion Penner, Dirk Helbing |
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 | 2 | 29% |
| Norway | 1 | 14% |
| Switzerland | 1 | 14% |
| Finland | 1 | 14% |
| Ecuador | 1 | 14% |
| Unknown | 1 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 3% |
| Italy | 2 | 2% |
| France | 1 | 1% |
| Malaysia | 1 | 1% |
| South Africa | 1 | 1% |
| Austria | 1 | 1% |
| Russia | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 87 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 18% |
| Researcher | 12 | 12% |
| Student > Master | 9 | 9% |
| Other | 7 | 7% |
| Professor > Associate Professor | 7 | 7% |
| Other | 23 | 23% |
| Unknown | 22 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 33 | 34% |
| Social Sciences | 12 | 12% |
| Physics and Astronomy | 7 | 7% |
| Mathematics | 5 | 5% |
| Engineering | 3 | 3% |
| Other | 13 | 13% |
| Unknown | 25 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 26 January 2015.
All research outputs
#2,375,594
of 23,891,012 outputs
Outputs from EPJ Data Science
#205
of 392 outputs
Outputs of similar age
#26,757
of 254,601 outputs
Outputs of similar age from EPJ Data Science
#6
of 15 outputs
Altmetric has tracked 23,891,012 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 392 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 42.8. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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 254,601 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 89% 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 gotten more attention than average, scoring higher than 66% of its contemporaries.