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Mendeley readers
Attention Score in Context
| Title |
The virtual design team: A computational model of project organizations
|
|---|---|
| Published in |
Computational and Mathematical Organization Theory, September 1996
|
| DOI | 10.1007/bf00127273 |
| Authors |
Yan Jin, Raymond E. Levitt |
Mendeley readers
The data shown below were compiled from readership statistics for 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 2% |
| United States | 3 | 2% |
| Germany | 2 | 1% |
| Netherlands | 1 | <1% |
| Italy | 1 | <1% |
| Portugal | 1 | <1% |
| Estonia | 1 | <1% |
| France | 1 | <1% |
| Unknown | 133 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 51 | 35% |
| Researcher | 22 | 15% |
| Student > Master | 20 | 14% |
| Student > Doctoral Student | 13 | 9% |
| Professor > Associate Professor | 9 | 6% |
| Other | 22 | 15% |
| Unknown | 9 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 64 | 44% |
| Business, Management and Accounting | 29 | 20% |
| Computer Science | 11 | 8% |
| Design | 7 | 5% |
| Psychology | 6 | 4% |
| Other | 14 | 10% |
| Unknown | 15 | 10% |
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 31 January 2017.
All research outputs
#8,535,684
of 25,374,917 outputs
Outputs from Computational and Mathematical Organization Theory
#33
of 104 outputs
Outputs of similar age
#8,627
of 28,742 outputs
Outputs of similar age from Computational and Mathematical Organization Theory
#1
of 1 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 104 research outputs from this source. They receive a mean Attention Score of 4.5. This one has gotten more attention than average, scoring higher than 50% 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 28,742 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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