PyScopus: Quick Start
PyScopus is a Python wrapper of Elsevier Scopus API. More details of this Python package can be found here.
Import Scopus class and initialize with your own API Key
from pyscopus import Scopus
key = 'xxxxxxxxxx'
scopus = Scopus(key)
search_df = scopus.search("KEY(interdisciplinary collaboration)", count=20)
search_df
| affiliation | aggregation_type | citation_count | cover_date | doi | eissn | isbn | issn | page_range | publication_name | scopus_id | subtype_description | title | volume | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | None | None | 0 | None | 10.1007/978-3-319-60937-9_27 | None | 9783319609362 | 21945357 | None | None | 85025807393 | None | A virtual learning system in environmental mon... | 627 |
| 1 | None | None | 0 | None | 10.1061/(ASCE)SU.1943-5428.0000218 | None | None | 07339453 | None | None | 85018978233 | None | Road-structure monitoring with modern geodetic... | 143 |
| 2 | None | None | 0 | None | 10.1386/chor.6.2.279_1 | None | None | None | None | None | 85027052146 | None | Becoming plural: The distribution of the self ... | 6 |
| 3 | None | None | 0 | None | 10.1016/j.radphyschem.2017.01.007 | None | None | 0969806X | None | None | 85011309669 | None | X-ray fluorescence – a non-destructive tool in... | 137 |
| 4 | None | None | 0 | None | 10.1111/hex.12511 | None | None | 13696513 | None | None | 84995554132 | None | Successful participation of patients in interp... | 20 |
| 5 | None | None | 0 | None | 10.1093/biosci/bix053 | None | None | 00063568 | None | None | 85028382527 | None | Synthesis centers as critical research infrast... | 67 |
| 6 | None | None | 0 | None | 10.1111/cfs.12343 | None | None | 13567500 | None | None | 85006089887 | None | Stepping through the door – exploring low-thre... | 22 |
| 7 | None | None | 0 | None | 10.1109/EXPAT.2017.7984348 | None | 9781538608104 | None | None | None | 85027844076 | None | Collaborative BIM environment as a support to ... | None |
| 8 | None | None | 0 | None | 10.1080/07380577.2017.1342888 | None | None | 07380577 | None | None | 85025139260 | None | An Occupational Therapy and Teaching Partnersh... | None |
| 9 | None | None | 0 | None | 10.1080/09613218.2016.1194601 | None | None | 09613218 | None | None | 84978505336 | None | Multidisciplinary research: should effort be t... | 45 |
| 10 | None | None | 0 | None | 10.1097/PHM.0000000000000654 | None | None | 08949115 | None | None | 85024386108 | None | Forging Alliances in Interdisciplinary Rehabil... | 96 |
| 11 | None | None | 0 | None | 10.1007/s11192-017-2383-1 | None | None | 01389130 | None | None | 85019017273 | None | Discovering the interdisciplinary nature of Bi... | 112 |
| 12 | None | None | 0 | None | 10.1055/s-0043-102939 | None | None | 14389029 | None | None | 85016015328 | None | Semi-automated De-identification of German Con... | 189 |
| 13 | None | None | 0 | None | 10.1093/sw/swx023 | None | None | 00378046 | None | None | 85021783522 | None | Policing Intimate Partner Violence: Attitudes ... | 62 |
| 14 | None | None | 1 | None | 10.1016/j.jhydrol.2017.05.008 | None | None | 00221694 | None | None | 85019625462 | None | Linking scientific disciplines: Hydrology and ... | 550 |
| 15 | None | None | 0 | None | 10.1111/aspp.12337 | None | None | 19430779 | None | None | 85021938702 | None | Anthropology Teaming Up With Agrometeorology: ... | 9 |
| 16 | None | None | 0 | None | 10.1055/s-0043-108993 | None | None | 14389029 | None | None | 85019544672 | None | Diagnostic Value of Diffusion-Weighted MRI for... | 189 |
| 17 | None | None | 0 | None | 10.1109/SECM.2017.8 | None | 9781538627952 | None | None | None | 85026750932 | None | Interdisciplinary software projects as an acti... | None |
| 18 | None | None | 0 | None | 10.1109/CHASE.2017.3 | None | 9781538640395 | None | None | None | 85025838957 | None | Cross-disciplinary perspectives on collaborati... | None |
| 19 | None | None | 0 | None | 10.1109/SIU.2017.7960696 | None | 9781509064946 | None | None | None | 85026293601 | None | Understanding a city from its visuals: An inte... | None |
author_result_df = scopus.search_author("AUTHLASTNAME(Zhao) and AUTHFIRST(Kang) and AFFIL(Iowa)")
author_result_df
| affiliation | affiliation_id | author_id | document_count | name | |
|---|---|---|---|---|---|
| 0 | University of Iowa | 60024324 | 36635367700 | 34 | Kang Zhao |
| 1 | University of Iowa | 60024324 | 57077574400 | 1 | Kang Zhao |
| 2 | University of Iowa | 60024324 | 57192277492 | 1 | Kang Zhao |
| 3 | University of Iowa | 60024324 | 57192307067 | 1 | Kang Zhao |
| 4 | Iowa State University | 60004354 60001439 | 56995506800 | 1 | Kang Zhao |
Then we can retrieve more detailed info about the author we are looking for using his/her author_id:
kang_info_dict = scopus.retrieve_author('36635367700')
kang_info_dict.keys()
['affiliation-current', 'author-id', 'name', 'publication-range', 'journal-history', 'first', 'document-count', 'eid', 'last', 'affiliation-history', 'cited-by-count', 'indexed-name', 'citation-count']
Search for his publications explicitly
kang_pub_df = scopus.search_author_publication('36635367700')
kang_pub_df
| affiliation | aggregation_type | citation_count | cover_date | doi | eissn | isbn | issn | page_range | publication_name | scopus_id | subtype_description | title | volume | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | None | None | 0 | None | 10.1371/journal.pone.0183655 | None | None | None | None | None | 85028414910 | None | A prospective examination of online social net... | 12 |
| 1 | None | None | 0 | None | 10.2196/jmir.6834 | None | None | None | None | None | 85018754892 | None | Analyzing and predicting user participations i... | 19 |
| 2 | None | None | 1 | None | 10.2196/jmir.5985 | None | None | None | None | None | 84989904178 | None | A multirelational social network analysis of a... | 18 |
| 3 | None | None | 0 | None | 10.1007/978-3-319-47874-6_34 | None | 9783319478739 | 03029743 | None | None | 84995379893 | None | Investigating regional prejudice in China thro... | 10047 LNCS |
| 4 | None | None | 0 | None | 10.1109/ICHI.2015.12 | None | 9781467395489 | None | None | None | 84966453564 | None | The evolution and diffusion of user roles in o... | None |
| 5 | None | None | 2 | None | 10.1007/s10257-014-0260-5 | None | None | 16179846 | None | None | 84948992373 | None | Leader identification in an online health comm... | 13 |
| 6 | None | None | 1 | None | 10.1109/MIS.2015.111 | None | None | 15411672 | None | None | 84960845090 | None | System Informatics: From Methodology to Applic... | 30 |
| 7 | None | None | 0 | None | None | None | None | None | None | None | 85011032472 | None | The evolution of user roles in online health c... | None |
| 8 | None | None | 0 | None | None | None | None | None | None | None | 85006974860 | None | The diffusion of user roles via social network... | None |
| 9 | None | None | 2 | None | 10.1007/978-3-319-16268-3_41 | None | 9783319162676 | 03029743 | None | None | 84925337405 | None | Early prediction of movie success-what, who, a... | 9021 |
| 10 | None | None | 0 | None | None | None | None | None | None | None | 85006998469 | None | The structure and dynamics of a multi-relation... | None |
| 11 | None | None | 1 | None | None | None | None | None | None | None | 84928618086 | None | Social support and user engagement in online h... | None |
| 12 | None | None | 13 | None | 10.1007/978-3-319-08416-9_10 | None | 9783319084152 | 03029743 | None | None | 84905259236 | None | Social support and user engagement in online h... | 8549 LNCS |
| 13 | None | None | 9 | None | 10.1109/MIS.2013.104 | None | None | 15411672 | None | None | 84903157217 | None | User recommendations in reciprocal and biparti... | 29 |
| 14 | None | None | 25 | None | 10.1136/amiajnl-2013-002282 | None | None | None | None | None | 84905286162 | None | Finding influential users of online health com... | 21 |
| 15 | None | None | 0 | None | None | None | 9781629934266 | None | None | None | 84897819669 | None | Making sense of a healthcare forum - Smart key... | 3 |
| 16 | None | None | 19 | None | 10.1093/jncimonographs/lgt025 | None | None | 10526773 | None | None | 84892456267 | None | Understanding topics and sentiment in an onlin... | None |
| 17 | None | None | 3 | None | 10.1007/s11280-012-0167-3 | None | None | 1386145X | None | None | 84885942201 | None | Who blogs what: Understanding the publishing b... | 16 |
| 18 | None | None | 2 | None | 10.1007/978-3-642-37210-0_25 | None | 9783642372094 | 03029743 | None | None | 84874792067 | None | Recommendation in reciprocal and bipartite soc... | 7812 LNCS |
| 19 | None | None | 9 | None | 10.1177/0037549711421942 | None | None | 00375497 | None | None | 84860146956 | None | Simulating inter-organizational collaboration ... | 88 |
| 20 | None | None | 31 | None | 10.1109/PASSAT/SocialCom.2011.127 | None | 9780769545783 | None | None | None | 84856163855 | None | Get online support, feel better-sentiment anal... | None |
| 21 | None | None | 14 | None | 10.1109/TEM.2010.2095503 | None | None | 00189391 | None | None | 79955569845 | None | Achieving high robustness in supply distributi... | 58 |
| 22 | None | None | 56 | None | 10.1109/JSYST.2010.2100192 | None | None | 19328184 | None | None | 78651392372 | None | Analyzing the Resilience of Complex Supply Net... | None |
| 23 | None | None | 7 | None | None | None | None | None | None | None | 84885924111 | None | Identifying leaders in an online cancer surviv... | None |
| 24 | None | None | 6 | None | 10.1007/978-3-642-12079-4_33 | None | 3642120784 | 03029743 | None | None | 78649252163 | None | Assortativity patterns in multi-dimensional in... | 6007 LNCS |
| 25 | None | None | 0 | None | 10.2196/jmir.6834 | None | None | None | None | None | 85018754892 | None | Analyzing and predicting user participations i... | 19 |
| 26 | None | None | 1 | None | 10.2196/jmir.5985 | None | None | None | None | None | 84989904178 | None | A multirelational social network analysis of a... | 18 |
| 27 | None | None | 0 | None | 10.1007/978-3-319-47874-6_34 | None | 9783319478739 | 03029743 | None | None | 84995379893 | None | Investigating regional prejudice in China thro... | 10047 LNCS |
| 28 | None | None | 0 | None | 10.1109/ICHI.2015.12 | None | 9781467395489 | None | None | None | 84966453564 | None | The evolution and diffusion of user roles in o... | None |
| 29 | None | None | 2 | None | 10.1007/s10257-014-0260-5 | None | None | 16179846 | None | None | 84948992373 | None | Leader identification in an online health comm... | 13 |
| 30 | None | None | 1 | None | 10.1109/MIS.2015.111 | None | None | 15411672 | None | None | 84960845090 | None | System Informatics: From Methodology to Applic... | 30 |
| 31 | None | None | 0 | None | None | None | None | None | None | None | 85011032472 | None | The evolution of user roles in online health c... | None |
| 32 | None | None | 0 | None | None | None | None | None | None | None | 85006974860 | None | The diffusion of user roles via social network... | None |
| 33 | None | None | 2 | None | 10.1007/978-3-319-16268-3_41 | None | 9783319162676 | 03029743 | None | None | 84925337405 | None | Early prediction of movie success-what, who, a... | 9021 |
pub_info = scopus.retrieve_abstract('84905286162')
pub_info.keys()
[u'prism:volume', u'prism:coverDate', 'title', u'prism:doi', 'abstract', u'prism:issueIdentifier', u'prism:url', u'pubmed-id', u'source-id', u'prism:aggregationType', u'eid', u'prism:publicationName', 'scopus-id', u'citedby-count', u'prism:issn', u'srctype']
pub_info['abstract']
u"Online health communities (OHCs) have become a major source of support for people with health problems. This research tries to improve our understanding of social influence and to identify influential users in OHCs. The outcome can facilitate OHC management, improve community sustainability, and eventually benefit OHC users. Through text mining and sentiment analysis of users' online interactions, the research revealed sentiment dynamics in threaded discussions. A novel metric--the number of influential responding replies--was proposed to directly measure a user's ability to affect the sentiment of others. Using the dataset from a popular OHC, the research demonstrated that the proposed metric is highly effective in identifying influential users. In addition, combining the metric with other traditional measures further improves the identification of influential users. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions."
Searching for articles in specific journals (venues) is not supported anymore since this can be easily done by general search
Note that the use of citation overview API needs to be approved by Elsevier.
pub_citations_df = scopus.retrieve_citation(scopus_id_array=['84905286162', '0141607824'],
year_range=[2010, 2014])
pub_citations_df
| 2010 | 2011 | 2012 | 2013 | 2014 | id | later-citation | previous-citation | total-citation | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 | 3 | 84905286162 | 22 | 0 | 25 |
| 1 | 593 | 801 | 1048 | 1320 | 1440 | 0141607824 | 4624 | 899 | 10725 |