Comments (4)
stijnh
commented on August 10, 2024
Thanks for using LitStudy!
Mmmm, not sure what the limit is. LitStudy just passes the query directly to pybliometrics and let's that package handle all communication with Scopus. Maybe you could ask your question on their GitHub page
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SS159
commented on August 10, 2024
Sure, I'll take a look. It would seem the enforced limit is 180, which is quite a severe limitation for most query processing.
I'll post on their page and then let you know.
S
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FlashFFF
commented on August 10, 2024
Had the same error. Try using a vpn with api subscription like from your University or the like. Solved it for multiple sources.
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stijnh
commented on August 10, 2024
pybliometrics is tracking this in pybliometrics-dev/pybliometrics#300
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Related Issues (20)
- 'No Edges Given' for Network Analysis HOT 4
- ValueError: n_components must be < n_features; got 50 >= 47 HOT 2
- `build_corpus` always removes words having a frequency below 5 HOT 4
- Different results from unique() and difference of deduplicated set HOT 2
- module 'networkx' has no attribute 'to_scipy_sparse_matrix' HOT 2
- Incompability with gensim 4 HOT 1
- Unexpected results from litstudy.plot_author_histogram() HOT 2
- Listing document titles HOT 3
- Support for google scholar HOT 1
- refine_scopus - low it/s speed; necessary to refine every time? HOT 1
- TypeError: object of type 'method' has no len() HOT 1
- Saving language models
- Documentation on search_ function queries HOT 3
- Search_semanticscholar with list
- Scopus400Error: Error translating query - Refining results with "source title" query argument HOT 6
- train_lda_model() fails to access gensim HOT 3
- Scopus400Error: Exceeds the maximum number allowed for the service level. HOT 1
- Scopus exceeds csv field limit
- SemanticScholar search optimization HOT 2
- DocumentIdentifier.matches() is case-sensitive
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