| Title |
A systematic method to create search strategies for emerging technologies based on the Web of Science: illustrated for ‘Big Data’
|
|---|---|
| Published in |
Scientometrics, July 2015
|
| DOI | 10.1007/s11192-015-1638-y |
| Authors |
Ying Huang, Jannik Schuehle, Alan L. Porter, Jan Youtie |
X Demographics
The data shown below were collected from the profiles of 5 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 | 40% |
| United Kingdom | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 1% |
| Spain | 1 | <1% |
| Bosnia and Herzegovina | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 140 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 18% |
| Researcher | 21 | 14% |
| Student > Master | 16 | 11% |
| Student > Doctoral Student | 15 | 10% |
| Librarian | 12 | 8% |
| Other | 28 | 19% |
| Unknown | 27 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 32 | 22% |
| Social Sciences | 26 | 18% |
| Business, Management and Accounting | 20 | 14% |
| Engineering | 10 | 7% |
| Economics, Econometrics and Finance | 5 | 3% |
| Other | 19 | 13% |
| Unknown | 33 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 16 February 2016.
All research outputs
#5,817,478
of 23,577,654 outputs
Outputs from Scientometrics
#1,019
of 2,745 outputs
Outputs of similar age
#65,326
of 264,079 outputs
Outputs of similar age from Scientometrics
#9
of 44 outputs
Altmetric has tracked 23,577,654 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 2,745 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 gotten more attention than average, scoring higher than 62% 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 264,079 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 44 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.