A systematic identification and analysis of scientists on Twitter. - Wikidata - wikimedia - TriplyDB

A systematic identification and analysis of scientists on Twitter.

A systematic identification and analysis of scientists on Twitter.

http://www.wikidata.org/entity/Q33553966

about

The unbearable emptiness of tweeting-About journal articles.Altmetrics: Broadening Impact or Amplifying Voices?Getting Started: A Social Media Primer.Scientists need social media influencers.Does engagement predict research use? An analysis of The Conversation Annual Survey 2016.Curated Collections for Educators: Five Key Papers on Evaluating Digital Scholarship.Academic information on Twitter: A user survey.Researcher and Author Impact Metrics: Variety, Value, and Context.

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P2860

A systematic identification and analysis of scientists on Twitter.

http://www.wikidata.org/entity/Q33553966

description

2017 nî lūn-bûn

@nan

2017 թուականի Ապրիլին հրատարակուած գիտական յօդուած

@hyw

2017 թվականի ապրիլին հրատարակված գիտական հոդված

@hy

2017年の論文

@ja

2017年論文

@yue

2017年論文

@zh-hant

2017年論文

@zh-hk

2017年論文

@zh-mo

2017年論文

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2017年论文

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name

A systematic identification and analysis of scientists on Twitter.

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A systematic identification and analysis of scientists on Twitter.

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A systematic identification and analysis of scientists on Twitter.

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type

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A systematic identification and analysis of scientists on Twitter.

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A systematic identification and analysis of scientists on Twitter.

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A systematic identification and analysis of scientists on Twitter.

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A systematic identification and analysis of scientists on Twitter.

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A systematic identification and analysis of scientists on Twitter.

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A systematic identification and analysis of scientists on Twitter.

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A systematic identification and analysis of scientists on Twitter.

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P2860

The Oligopoly of Academic Publishers in the Digital Era

Do altmetrics work? Twitter and ten other social web services

Can tweets predict citations? Metrics of social impact based on Twitter and correlation with traditional metrics of scientific impact

Mixing patterns in networks

Use of social media in urology: data from the American Urological Association (AUA).

Astrophysicists' conversational connections on Twitter

How the scientific community reacts to newly submitted preprints: article downloads, Twitter mentions, and citations

ForceAtlas2, a continuous graph layout algorithm for handy network visualization designed for the Gephi software.

Characterizing social media metrics of scholarly papers: the effect of document properties and collaboration patterns

The vacuum shouts back: postpublication peer review on social media.

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