| Title |
Neo-Functionalism as a Theory of Disintegration
|
|---|---|
| Published in |
Chinese Political Science Review, March 2016
|
| DOI | 10.1007/s41111-016-0012-4 |
| Authors |
Philippe C. Schmitter, Zoe Lefkofridi |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Singapore | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 1% |
| Unknown | 95 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 21 | 22% |
| Student > Ph. D. Student | 15 | 16% |
| Student > Bachelor | 15 | 16% |
| Researcher | 7 | 7% |
| Student > Doctoral Student | 4 | 4% |
| Other | 14 | 15% |
| Unknown | 20 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 54 | 56% |
| Economics, Econometrics and Finance | 6 | 6% |
| Business, Management and Accounting | 3 | 3% |
| Arts and Humanities | 2 | 2% |
| Computer Science | 2 | 2% |
| Other | 7 | 7% |
| Unknown | 22 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 04 May 2016.
All research outputs
#15,864,240
of 23,567,034 outputs
Outputs from Chinese Political Science Review
#67
of 127 outputs
Outputs of similar age
#179,171
of 299,902 outputs
Outputs of similar age from Chinese Political Science Review
#8
of 16 outputs
Altmetric has tracked 23,567,034 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 127 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 30th percentile – i.e., 30% 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 299,902 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 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 50% of its contemporaries.