The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Faculty support for the objectives of university–industry relations versus degree of R&D cooperation: The importance of regional absorptive capacity
Open accessOverview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Matthew Effect in Science: The reward and communication systems of science are considered.
Merton, R. K. (1968) · Science · doi:10.1126/science.159.3810.56 · Cited by 6,720 · cited 1×
“However, since individual research productivity has cumulative features (Merton, 1968), we believe that a better explanatory factor than age could be a measure taking into account other features of seniority, e.g. teaching rank, research awards, etc.”
Toward a new economics of science
Partha, D., & David, P. A. (1994) · Research Policy · doi:10.1016/0048-7333(94)01002-1 · Cited by 2,448
Cited by
The Third Mission of the university: A systematic literature review on potentials and constraints
Compagnucci, L., & Spigarelli, F. (2020) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2020.120284 · Cited by 892
Gender and innovation: state of the art and a research agenda
Agnete Alsos, G., Ljunggren, E., & Hytti, U. (2013) · International Journal of Gender and Entrepreneurship · doi:10.1108/ijge-06-2013-0049 · Cited by 278
Regional innovation system, absorptive capacity and innovation performance: An empirical study
Lau, A. K. W., & Lo, W. (2015) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2014.11.005 · Cited by 273
Metadata
- Authors
- Azagra-Caro, J. M., Archontakis, F., Gutiérrez-Gracia, A., & Fernández-de-Lucio, I.
- Venue
- Research Policy
- Publisher
- Elsevier BV
- Published
- 2006-02
- Volume
- 35
- Issue
- 1
- Pages
- 37-55
- ISSN
- 0048-7333 (ISSN-L)
- OpenAlex
- W1968352903
- Cited by
- 176
- References
- 2
- FWCI
- 11.88
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Faculty support for the objectives of university–industry relations versus degree of R&D cooperation: The importance of regional absorptive capacity. https://app.cochat.ai/papers/10.1016/j.respol.2005.08.007
- The paper
- Azagra-Caro, J. M., Archontakis, F., Gutiérrez-Gracia, A., & Fernández-de-Lucio, I. (2006). Faculty support for the objectives of university–industry relations versus degree of R&D cooperation: The importance of regional absorptive capacity. Research Policy. https://doi.org/10.1016/j.respol.2005.08.007
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.