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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Combining Scientometrics with Patent-Metrics for CTI Service in R&D Decision-Making: Practices of National Science Library of CAS
|
|---|---|
| Chapter number | 17 |
| Book title |
Anticipating Future Innovation Pathways Through Large Data Analysis
|
| Published in |
Innovation, Technology, and Knowledge Management, July 2016
|
| DOI | 10.1007/978-3-319-39056-7_17 |
| Book ISBNs |
978-3-31-939054-3, 978-3-31-939056-7
|
| Authors |
X. Liu, Y. Sun, H. Xu, P. Jia, S. Wang, L. Dong, X. Chen |
| Editors |
Tugrul U. Daim, Denise Chiavetta, Alan L. Porter, Ozcan Saritas |
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 % |
|---|---|---|
| United Kingdom | 1 | 25% |
| Spain | 1 | 25% |
| United States | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 1 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 25% |
| Professor | 2 | 17% |
| Student > Ph. D. Student | 2 | 17% |
| Researcher | 1 | 8% |
| Unspecified | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 3 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 5 | 42% |
| Computer Science | 2 | 17% |
| Social Sciences | 1 | 8% |
| Engineering | 1 | 8% |
| Unknown | 3 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 12 August 2016.
All research outputs
#16,151,278
of 25,992,468 outputs
Outputs from Innovation, Technology, and Knowledge Management
#1
of 1 outputs
Outputs of similar age
#225,290
of 381,119 outputs
Outputs of similar age from Innovation, Technology, and Knowledge Management
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 1.8. This one scored the same or higher as 0 of them.
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 381,119 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them