| Title |
Maximizing benefits from crowdsourced data
|
|---|---|
| Published in |
Computational and Mathematical Organization Theory, June 2012
|
| DOI | 10.1007/s10588-012-9121-2 |
| Authors |
Geoffrey Barbier, Reza Zafarani, Huiji Gao, Gabriel Fung, Huan Liu |
Mendeley readers
The data shown below were compiled from readership statistics for 183 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 3% |
| Italy | 2 | 1% |
| Germany | 1 | <1% |
| Malaysia | 1 | <1% |
| Spain | 1 | <1% |
| Kenya | 1 | <1% |
| Unknown | 172 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 40 | 22% |
| Student > Master | 40 | 22% |
| Student > Bachelor | 20 | 11% |
| Researcher | 16 | 9% |
| Student > Doctoral Student | 13 | 7% |
| Other | 34 | 19% |
| Unknown | 20 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 62 | 34% |
| Engineering | 29 | 16% |
| Business, Management and Accounting | 23 | 13% |
| Social Sciences | 17 | 9% |
| Agricultural and Biological Sciences | 4 | 2% |
| Other | 25 | 14% |
| Unknown | 23 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 29 August 2014.
All research outputs
#7,917,073
of 23,854,458 outputs
Outputs from Computational and Mathematical Organization Theory
#30
of 96 outputs
Outputs of similar age
#56,169
of 166,373 outputs
Outputs of similar age from Computational and Mathematical Organization Theory
#1
of 4 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 96 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 48th percentile – i.e., 48% 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 166,373 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them