Title |
Methods for estimating the size of Google Scholar
|
---|---|
Published in |
Scientometrics, May 2015
|
DOI | 10.1007/s11192-015-1614-6 |
Authors |
Enrique Orduna-Malea, Juan M. Ayllón, Alberto Martín-Martín, Emilio Delgado López-Cózar, Enrique Orduña-Malea, Juan Manuel Ayllón |
X Demographics
The data shown below were collected from the profiles of 96 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 | 16 | 17% |
United Kingdom | 12 | 13% |
United States | 7 | 7% |
Canada | 7 | 7% |
Germany | 6 | 6% |
Netherlands | 4 | 4% |
Brazil | 3 | 3% |
Peru | 2 | 2% |
Argentina | 2 | 2% |
Other | 10 | 10% |
Unknown | 27 | 28% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 61 | 64% |
Scientists | 26 | 27% |
Science communicators (journalists, bloggers, editors) | 8 | 8% |
Practitioners (doctors, other healthcare professionals) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 6 | 4% |
Peru | 2 | 1% |
Germany | 1 | <1% |
Indonesia | 1 | <1% |
Brazil | 1 | <1% |
Mexico | 1 | <1% |
United States | 1 | <1% |
Unknown | 128 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 22 | 16% |
Student > Ph. D. Student | 19 | 13% |
Librarian | 14 | 10% |
Student > Bachelor | 13 | 9% |
Student > Master | 11 | 8% |
Other | 37 | 26% |
Unknown | 25 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 31 | 22% |
Computer Science | 31 | 22% |
Economics, Econometrics and Finance | 7 | 5% |
Agricultural and Biological Sciences | 7 | 5% |
Business, Management and Accounting | 7 | 5% |
Other | 31 | 22% |
Unknown | 27 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 118. 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 March 2023.
All research outputs
#360,631
of 25,660,026 outputs
Outputs from Scientometrics
#31
of 2,944 outputs
Outputs of similar age
#3,806
of 281,839 outputs
Outputs of similar age from Scientometrics
#1
of 30 outputs
Altmetric has tracked 25,660,026 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,944 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has done particularly well, scoring higher than 98% 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 281,839 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 98% of its contemporaries.
We're also able to compare this research output to 30 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 96% of its contemporaries.