| Title |
Sequence analysis of annually normalized citation counts: an empirical analysis based on the characteristic scores and scales (CSS) method
|
|---|---|
| Published in |
Scientometrics, September 2017
|
| DOI | 10.1007/s11192-017-2521-9 |
| Pubmed ID | |
| Authors |
Lutz Bornmann, Adam Y. Ye, Fred Y. Ye |
| Abstract |
In bibliometrics, only a few publications have focused on the citation histories of publications, where the citations for each citing year are assessed. In this study, therefore, annual categories of field- and time-normalized citation scores (based on the characteristic scores and scales method: 0 = poorly cited, 1 = fairly cited, 2 = remarkably cited, and 3 = outstandingly cited) are used to study the citation histories of papers. As our dataset, we used all articles published in 2000 and their annual citation scores until 2015. We generated annual sequences of citation scores (e.g., [Formula: see text]) and compared the sequences of annual citation scores of six broader fields (natural sciences, engineering and technology, medical and health sciences, agricultural sciences, social sciences, and humanities). In agreement with previous studies, our results demonstrate that sequences with poorly cited (0) and fairly cited (1) elements dominate the publication set; sequences with remarkably cited (3) and outstandingly cited (4) periods are rare. The highest percentages of constantly poorly cited papers can be found in the social sciences; the lowest percentages are in the agricultural sciences and humanities. The largest group of papers with remarkably cited (3) and/or outstandingly cited (4) periods shows an increasing impact over the citing years with the following orders of sequences: [Formula: see text] (6.01%), which is followed by [Formula: see text] (1.62%). Only 0.11% of the papers (n = 909) are constantly on the outstandingly cited level. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 21% |
| Student > Doctoral Student | 3 | 10% |
| Librarian | 2 | 7% |
| Student > Bachelor | 2 | 7% |
| Lecturer | 1 | 3% |
| Other | 4 | 14% |
| Unknown | 11 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 8 | 28% |
| Computer Science | 5 | 17% |
| Linguistics | 1 | 3% |
| Psychology | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 11 | 38% |
Attention Score in Context
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#18,572,036
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Outputs of similar age from Scientometrics
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