How the high-impact papers formed? A study using data from social media and citation
Bibliographic Data
| ID | 21442357 |
|---|---|
| Authors | Jianhua Hou (0000-0003-2138-6275, corresponding author), Da Ma (0000-0003-3770-1989) |
| Year | 2020 |
| Volume | 125 |
| Issue | 3 |
| Pages | 2597-2615 |
| Publication date | 2020-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Scientometrics (JOURNAL) |
| Journal identifiers | ISSN: 0138-9130 • E-ISSN: 1588-2861 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s11192-020-03703-2 |
| OpenAlex | W3085253032 |
| Language | EN |
| Citations received | 3 |
| References cited | 58 |
Analytic hierarchy process · Citation · Citation impact · Data science · Hierarchy · Information retrieval · Interdependence · Library science · Operations research · Political science · Process (computing) · Rank (graph theory) · Social media · Social science · Sociology · The Internet · World Wide Web · Computer Science · Expert finding and Q&A systems · Mathematics · scientometrics and bibliometrics research
Characterizing Social Media Metrics of Scholarly Papers
Characteristics of highly cited papers
Factors affecting number of citations
Do “altmetrics” correlate with citations? Extensive comparison of altmetric indicators with citations from a multidisciplinary perspective
Do altmetrics point to the broader impact of research? An overview of benefits and disadvantages of altmetrics
Altmetrics and societal impact measurements
Taking the alternative mainstream
| Citations per year | 1.5 |
|---|---|
| Citation span | 2024 - 2026 (3) |
| Highly cited | No |