| Title |
Plots for visualizing paper impact and journal impact of single researchers in a single graph
|
|---|---|
| Published in |
Scientometrics, January 2018
|
| DOI | 10.1007/s11192-018-2658-1 |
| Pubmed ID | |
| Authors |
Lutz Bornmann, Robin Haunschild |
| Abstract |
In research evaluation of single researchers, the assessment of paper and journal impact is of interest. High journal impact reflects the ability of researchers to convince strict reviewers, and high paper impact reflects the usefulness of papers for future research. In many bibliometric studies, metrics for journal and paper impact are separately presented. In this paper, we introduce two graph types, which combine both metrics in a single graph. The graphs can be used in research evaluation to visualize the performance of single researchers comprehensively. |
X Demographics
The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ukraine | 2 | 13% |
| Spain | 2 | 13% |
| Germany | 2 | 13% |
| Chile | 1 | 6% |
| United Kingdom | 1 | 6% |
| Ecuador | 1 | 6% |
| Colombia | 1 | 6% |
| United States | 1 | 6% |
| Unknown | 5 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 63% |
| Scientists | 5 | 31% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 17% |
| Librarian | 8 | 15% |
| Other | 6 | 11% |
| Professor | 3 | 6% |
| Student > Ph. D. Student | 3 | 6% |
| Other | 10 | 19% |
| Unknown | 15 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 8 | 15% |
| Computer Science | 7 | 13% |
| Agricultural and Biological Sciences | 5 | 9% |
| Medicine and Dentistry | 4 | 7% |
| Business, Management and Accounting | 2 | 4% |
| Other | 13 | 24% |
| Unknown | 15 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 30 July 2021.
All research outputs
#4,531,449
of 25,081,419 outputs
Outputs from Scientometrics
#868
of 2,876 outputs
Outputs of similar age
#92,872
of 452,492 outputs
Outputs of similar age from Scientometrics
#21
of 62 outputs
Altmetric has tracked 25,081,419 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,876 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 69% of its peers.
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We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.