Resumé
Method. The present study aims to analyse the extent to which seminal papers are being cited more or less than more recent studies, when authors cite previous, similar studies. Cohorts of studies addressing the same research question form the data set of the analysis. The data is visualised and analysed using statistical analyses and charts.
Results. The results show that some narrow research questions are addressed by as much as 50 or 100 studies. The results also show that the more citable studies, the smaller the ratio of cited to non-cited studies.
Conclusion. There does not seem to be a general tendency towards older or more recent studies being cited more. The more citable studies the more evenly distributed the share of citations seems to be. The implications for bibliometrics are discussed.
| Originalsprog | Engelsk |
|---|---|
| Tidsskrift | Information Research |
| Vol/bind | 22 |
| Udgave nummer | 1 |
| Sider (fra-til) | 1-11 |
| ISSN | 1368-1613 |
| Status | Udgivet - 2017 |
| Begivenhed | 9th International Conference on Conceptions of Library and Information Science - Uppsala, Sverige Varighed: 27. jun. 2016 → 29. jun. 2016 Konferencens nummer: 9 |
Konference
| Konference | 9th International Conference on Conceptions of Library and Information Science |
|---|---|
| Nummer | 9 |
| Land | Sverige |
| By | Uppsala |
| Periode | 27/06/2016 → 29/06/2016 |
Fingeraftryk
Emneord
- bibliometrics
- Clinical Trials
- Citation theory
Citer dette
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Citing the innovative work of the original inventors : An analysis of citations to prior clinical trials . / Frandsen, Tove Faber .
I: Information Research, Bind 22, Nr. 1, 2017, s. 1-11.Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning › peer review
TY - GEN
T1 - Citing the innovative work of the original inventors
T2 - An analysis of citations to prior clinical trials
AU - Frandsen, Tove Faber
PY - 2017
Y1 - 2017
N2 - Introduction. The massive growth of the amount of scientific literature can result in an abundancy of relevant studies when an author wants to substantiate a claim. References and citations are fundamental bibliometric artefacts yet little guidance is offered to authors regarding the selection between equally relevant references. Only rules of thumb exist, and this paper provides an overview of the scarce publications within the area. One well-known rule of thumb is to cite seminal work. Method. This study analyses the extent to which seminal papers are being cited more or less than more recent studies, when authors cite previous, similar studies. Cohorts of studies addressing the same research question form the data set of the analysis. The data is visualised and analysed using statistical analyses and charts. Results. The results show that some research questions are addressed by as much as 50 or 100 studies. Also, the paper shows that the more citable studies, the smaller the ratio of cited to non-cited studies. Conclusion. There does not seem to be a general tendency towards older or more recent studies being cited more. The more citable studies the more evenly distributed the share of citations seems to be. The implications for bibliometrics are discussed.
AB - Introduction. The massive growth of the amount of scientific literature can result in an abundancy of relevant studies when an author wants to substantiate a claim. References and citations are fundamental bibliometric artefacts yet little guidance is offered to authors regarding the selection between equally relevant references. Only rules of thumb exist, and this paper provides an overview of the scarce publications within the area. One well-known rule of thumb is to cite seminal work. Method. This study analyses the extent to which seminal papers are being cited more or less than more recent studies, when authors cite previous, similar studies. Cohorts of studies addressing the same research question form the data set of the analysis. The data is visualised and analysed using statistical analyses and charts. Results. The results show that some research questions are addressed by as much as 50 or 100 studies. Also, the paper shows that the more citable studies, the smaller the ratio of cited to non-cited studies. Conclusion. There does not seem to be a general tendency towards older or more recent studies being cited more. The more citable studies the more evenly distributed the share of citations seems to be. The implications for bibliometrics are discussed.
KW - bibliometrics
KW - Clinical Trials
KW - Citation theory
M3 - Conference article
VL - 22
SP - 1
EP - 11
JO - Information Research
JF - Information Research
SN - 1368-1613
IS - 1
ER -