1,721,003 research outputs found
Use of blogs, Twitter and Facebook by UK PhD Students for Scholarly Communication
This study explores scholarly use of social media by PhD students through a mix-method approach of qualitative interviews and a case study of #phdchat conversation. Social media tools, such as blogs, Twitter and Facebook, can be used by PhD students and early career researchers to promote their professional profiles, disseminate their work to a wider audience quickly, and gain feedback and support from peers across the globe. There are also difficulties and potential problems such as the lack of standards and incentives, the risks of ideas being stolen, lack of knowledge of how to start and maintain using social media tool and the potential need to invest significant amount of time and effort. We found that respondents employed various strategies to maximize the impact of their scholarly communication practice
Use of blogs, Twitter and Facebook by UK PhD Students for Scholarly Communication
This study explores scholarly use of social media by PhD students through a mix-method approach of qualitative interviews and a case study of #phdchat conversation. Social media tools, such as blogs, Twitter and Facebook, can be used by PhD students and early career researchers to promote their professional profiles, disseminate their work to a wider audience quickly, and gain feedback and support from peers across the globe. There are also difficulties and potential problems such as the lack of standards and incentives, the risks of ideas being stolen, lack of knowledge of how to start and maintain using social media tool and the potential need to invest significant amount of time and effort. We found that respondents employed various strategies to maximize the impact of their scholarly communication practice
Monthly aggregated temporal profiles of the main environmental tags on Flickr (2004–2014).
Monthly aggregated temporal profiles of the main environmental tags on Flickr (2004–2014).</p
PPMCC values of the cross-dependencies between generic environmental, hydrological and risk-signalling semantic tags on the Yahoo! Flickr platform (2004–2014).
PPMCC values of the cross-dependencies between generic environmental, hydrological and risk-signalling semantic tags on the Yahoo! Flickr platform (2004–2014).</p
Top news headlines bearing positive or negative sentiment by year.
Top news headlines bearing positive or negative sentiment by year.</p
PPMCC values of the cross-dependencies between deconstructed ‘RW’ tag material: (a) ‘river’ vs. ‘flood’ (1a) and ‘NL’ (2a); and (b) ‘water’ vs. ‘flood’ (1b) and ‘NL’ (2b) within Flood Peak Periods (FPP) exclusively.
PPMCC values of the cross-dependencies between deconstructed ‘RW’ tag material: (a) ‘river’ vs. ‘flood’ (1a) and ‘NL’ (2a); and (b) ‘water’ vs. ‘flood’ (1b) and ‘NL’ (2b) within Flood Peak Periods (FPP) exclusively.</p
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Top 10 most active countries, ranked by overall positivity towards the IoT.
Top 10 most active countries, ranked by overall positivity towards the IoT.</p
Two cases of the tag ‘river’ used with Flickr images: (a) capturing the scenic nature of a rocky, riverine environment and (b) illustrating water levels during a flood event.
Two cases of the tag ‘river’ used with Flickr images: (a) capturing the scenic nature of a rocky, riverine environment and (b) illustrating water levels during a flood event.</p
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