| Title |
A framework for systematic analysis of open access journals and its application in software engineering and information systems
|
|---|---|
| Published in |
Scientometrics, April 2014
|
| DOI | 10.1007/s11192-014-1278-7 |
| Authors |
Daniel Graziotin, Xiaofeng Wang, Pekka Abrahamsson |
X Demographics
The data shown below were collected from the profiles of 24 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 States | 3 | 13% |
| United Kingdom | 2 | 8% |
| France | 2 | 8% |
| Australia | 1 | 4% |
| Japan | 1 | 4% |
| Brazil | 1 | 4% |
| Italy | 1 | 4% |
| Unknown | 13 | 54% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 63% |
| Science communicators (journalists, bloggers, editors) | 5 | 21% |
| Scientists | 4 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | 1% |
| Italy | 1 | 1% |
| South Africa | 1 | 1% |
| Czechia | 1 | 1% |
| Spain | 1 | 1% |
| United States | 1 | 1% |
| Poland | 1 | 1% |
| Unknown | 68 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Librarian | 15 | 20% |
| Researcher | 13 | 17% |
| Student > Master | 7 | 9% |
| Student > Ph. D. Student | 6 | 8% |
| Student > Doctoral Student | 6 | 8% |
| Other | 23 | 31% |
| Unknown | 5 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 24 | 32% |
| Computer Science | 17 | 23% |
| Engineering | 5 | 7% |
| Medicine and Dentistry | 4 | 5% |
| Agricultural and Biological Sciences | 3 | 4% |
| Other | 15 | 20% |
| Unknown | 7 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 21 April 2016.
All research outputs
#1,502,855
of 24,416,081 outputs
Outputs from Scientometrics
#265
of 2,821 outputs
Outputs of similar age
#15,268
of 232,676 outputs
Outputs of similar age from Scientometrics
#4
of 37 outputs
Altmetric has tracked 24,416,081 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,821 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done particularly well, scoring higher than 90% 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 232,676 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.