| Title |
Predicting the research output/growth of selected countries: application of Even GM (1, 1) and NDGM models
|
|---|---|
| Published in |
Scientometrics, November 2017
|
| DOI | 10.1007/s11192-017-2586-5 |
| Authors |
Saad Ahmed Javed, Sifeng Liu |
X Demographics
The data shown below were collected from the profiles of 3 X users 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 | 33% |
| Pakistan | 1 | 33% |
| China | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 56 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 20% |
| Student > Ph. D. Student | 9 | 16% |
| Student > Master | 5 | 9% |
| Lecturer | 3 | 5% |
| Student > Doctoral Student | 2 | 4% |
| Other | 10 | 18% |
| Unknown | 16 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 11 | 20% |
| Business, Management and Accounting | 7 | 13% |
| Computer Science | 5 | 9% |
| Social Sciences | 5 | 9% |
| Energy | 4 | 7% |
| Other | 5 | 9% |
| Unknown | 19 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 26 July 2020.
All research outputs
#5,565,594
of 23,016,919 outputs
Outputs from Scientometrics
#975
of 2,691 outputs
Outputs of similar age
#106,803
of 438,205 outputs
Outputs of similar age from Scientometrics
#24
of 59 outputs
Altmetric has tracked 23,016,919 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,691 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one has gotten more attention than average, scoring higher than 63% 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 438,205 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 59 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 57% of its contemporaries.