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04144nam a2200553 4500 |
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978-981-13-1053-9 |
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20191024031956.0 |
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|a 9789811310539
|9 978-981-13-1053-9
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|a 10.1007/978-981-13-1053-9
|2 doi
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|a QA75.5-76.95
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|a COM014000
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|a Altmetrics for Research Outputs Measurement and Scholarly Information Management
|h [electronic resource] :
|b International Altmetrics Workshop, AROSIM 2018, Singapore, Singapore, January 26, 2018, Revised Selected Papers /
|c edited by Mojisola Erdt, Aravind Sesagiri Raamkumar, Edie Rasmussen, Yin-Leng Theng.
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|a 1st ed. 2018.
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|a Singapore :
|b Springer Singapore :
|b Imprint: Springer,
|c 2018.
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|a XII, 125 p. 15 illus.
|b online resource.
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|a text
|b txt
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|a computer
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|a online resource
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|a text file
|b PDF
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|a Communications in Computer and Information Science,
|x 1865-0929 ;
|v 856
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|a Introduction to the Workshop on Altmetrics for Research Outputs Measurement and Scholarly Information Management (AROSIM 2018) -- Using Altmetrics to Support Research Evaluation -- Towards Greater Context for Altmetrics -- Monitoring the Broad Impact of the Journal Publication Output on Country Level: A Case Study for Austria -- New Dialog, New Services with Altmetrics: Lingnan University Library Experience -- How Do Scholars Evaluate and Promote Research Outputs? An NTU Case Study -- Scientific vs. Public Attention: A comparison of Top Cited Papers in WoS and Top Papers by Altmetric Score -- Field-weighting Readership: How Does It Compare to Field-weighting Citations -- A Comparative Investigation on Citation Counts and Altmetrics Between Papers Authored by Universities and Companies in the Research Field of Artificial Intelligence.
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|a This book constitutes the refereed proceedings of the International Workshop on Altmetrics for Research Outputs Measurements and Scholarly Information Management, AROSIM 2018, held in Singapore, in January 2018. The 7 revised full papers presented together with two keynote papers and one introduction paper were carefully reviewed and selected from 20 submissions. The workshop will investigate how social media based metrics along with traditional and non-traditional metrics can advance the state-of-the-art in measuring research outputs.
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|a Computer science.
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|a Data mining.
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|a Application software.
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|a Database management.
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|a Computer Science, general.
|0 http://scigraph.springernature.com/things/product-market-codes/I00001
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|a Data Mining and Knowledge Discovery.
|0 http://scigraph.springernature.com/things/product-market-codes/I18030
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|a Information Systems Applications (incl. Internet).
|0 http://scigraph.springernature.com/things/product-market-codes/I18040
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|a Database Management.
|0 http://scigraph.springernature.com/things/product-market-codes/I18024
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|a Erdt, Mojisola.
|e editor.
|0 (orcid)0000-0003-2371-6768
|1 https://orcid.org/0000-0003-2371-6768
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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1 |
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|a Sesagiri Raamkumar, Aravind.
|e editor.
|0 (orcid)0000-0001-7200-7787
|1 https://orcid.org/0000-0001-7200-7787
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a Rasmussen, Edie.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a Theng, Yin-Leng.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a SpringerLink (Online service)
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|t Springer eBooks
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776 |
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|i Printed edition:
|z 9789811310522
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776 |
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|i Printed edition:
|z 9789811310546
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830 |
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|a Communications in Computer and Information Science,
|x 1865-0929 ;
|v 856
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856 |
4 |
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|u https://doi.org/10.1007/978-981-13-1053-9
|z Full Text via HEAL-Link
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|a ZDB-2-SCS
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950 |
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|a Computer Science (Springer-11645)
|