| Title |
Reconsidering the gold open access citation advantage postulate in a multidisciplinary context: an analysis of the subject categories in the Web of Science database 2009–2014
|
|---|---|
| Published in |
Scientometrics, May 2017
|
| DOI | 10.1007/s11192-017-2422-y |
| Authors |
Pablo Dorta-González, Sara M. González-Betancor, María Isabel Dorta-González |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Members of the public | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| New Zealand | 1 | 2% |
| Sweden | 1 | 2% |
| Unknown | 56 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Librarian | 22 | 37% |
| Student > Ph. D. Student | 9 | 15% |
| Researcher | 8 | 14% |
| Professor > Associate Professor | 4 | 7% |
| Student > Master | 4 | 7% |
| Other | 6 | 10% |
| Unknown | 6 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 15 | 25% |
| Computer Science | 9 | 15% |
| Medicine and Dentistry | 6 | 10% |
| Agricultural and Biological Sciences | 5 | 8% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Other | 12 | 20% |
| Unknown | 10 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 24 September 2018.
All research outputs
#1,310,467
of 22,977,819 outputs
Outputs from Scientometrics
#243
of 2,690 outputs
Outputs of similar age
#28,074
of 316,100 outputs
Outputs of similar age from Scientometrics
#10
of 54 outputs
Altmetric has tracked 22,977,819 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,690 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 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 316,100 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 91% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.