| Title |
A hybrid heterogeneous Pythagorean fuzzy group decision modelling for crowdfunding development process pathways of fintech-based clean energy investment projects
|
|---|---|
| Published in |
Financial Innovation, May 2021
|
| DOI | 10.1186/s40854-021-00250-4 |
| Authors |
Yue Meng, Haoyue Wu, Wenjing Zhao, Wenkuan Chen, Hasan Dinçer, Serhat Yüksel |
Twitter Demographics
The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 114 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 12 | 11% |
| Unspecified | 10 | 9% |
| Student > Ph. D. Student | 9 | 8% |
| Lecturer | 7 | 6% |
| Lecturer > Senior Lecturer | 4 | 4% |
| Other | 19 | 17% |
| Unknown | 53 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 20 | 18% |
| Economics, Econometrics and Finance | 17 | 15% |
| Unspecified | 12 | 11% |
| Engineering | 4 | 4% |
| Computer Science | 4 | 4% |
| Other | 4 | 4% |
| Unknown | 53 | 46% |
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 07 May 2021.
All research outputs
#15,685,238
of 23,308,124 outputs
Outputs from Financial Innovation
#90
of 164 outputs
Outputs of similar age
#259,953
of 439,719 outputs
Outputs of similar age from Financial Innovation
#11
of 26 outputs
Altmetric has tracked 23,308,124 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 164 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 16th percentile – i.e., 16% 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 439,719 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 26 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.