| Title |
A review of features for the discrimination of twitter users: application to the prediction of offline influence
|
|---|---|
| Published in |
Social Network Analysis and Mining, May 2016
|
| DOI | 10.1007/s13278-016-0329-x |
| Authors |
Jean-Valère Cossu, Vincent Labatut, Nicolas Dugué |
X Demographics
The data shown below were collected from the profiles of 11 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 | 3 | 27% |
| Australia | 1 | 9% |
| France | 1 | 9% |
| Unknown | 6 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 64% |
| Scientists | 3 | 27% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | 1% |
| Netherlands | 1 | 1% |
| Germany | 1 | 1% |
| Unknown | 85 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 18% |
| Researcher | 12 | 14% |
| Student > Master | 11 | 13% |
| Student > Bachelor | 9 | 10% |
| Lecturer | 5 | 6% |
| Other | 20 | 23% |
| Unknown | 15 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 33 | 38% |
| Social Sciences | 10 | 11% |
| Psychology | 6 | 7% |
| Engineering | 5 | 6% |
| Business, Management and Accounting | 4 | 5% |
| Other | 9 | 10% |
| Unknown | 21 | 24% |
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 17 January 2017.
All research outputs
#6,189,759
of 25,193,883 outputs
Outputs from Social Network Analysis and Mining
#61
of 354 outputs
Outputs of similar age
#81,948
of 308,310 outputs
Outputs of similar age from Social Network Analysis and Mining
#3
of 9 outputs
Altmetric has tracked 25,193,883 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 354 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one has done well, scoring higher than 83% 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 308,310 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.