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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Performance Management of Supply Chain Sustainability in Small and Medium-Sized Enterprises Using a Combined Structural Equation Modelling and Data Envelopment Analysis
|
|---|---|
| Published in |
Computational Economics, November 2019
|
| DOI | 10.1007/s10614-019-09948-1 |
| Authors |
Prasanta Kumar Dey, Guo-liang Yang, Chrysovalantis Malesios, Debashree De, Konstantinos Evangelinos |
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 % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 163 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 163 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 15 | 9% |
| Student > Ph. D. Student | 14 | 9% |
| Student > Bachelor | 12 | 7% |
| Lecturer | 11 | 7% |
| Researcher | 9 | 6% |
| Other | 30 | 18% |
| Unknown | 72 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 39 | 24% |
| Engineering | 17 | 10% |
| Economics, Econometrics and Finance | 9 | 6% |
| Social Sciences | 9 | 6% |
| Agricultural and Biological Sciences | 4 | 2% |
| Other | 14 | 9% |
| Unknown | 71 | 44% |
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 22 November 2019.
All research outputs
#15,590,077
of 23,177,498 outputs
Outputs from Computational Economics
#113
of 189 outputs
Outputs of similar age
#275,054
of 457,319 outputs
Outputs of similar age from Computational Economics
#3
of 9 outputs
Altmetric has tracked 23,177,498 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 189 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 23rd percentile – i.e., 23% 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 457,319 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
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.