Search (117 results, page 1 of 6)

  • × author_ss:"Thelwall, M."
  1. Thelwall, M.; Bourrier, M.K.: ¬The reading background of Goodreads book club members : a female fiction canon? (2019) 0.01
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    Date
    10. 3.1997 20:31:13
    Language
    e
    Theme
    Schöne Literatur
  2. Thelwall, M.; Ruschenburg, T.: Grundlagen und Forschungsfelder der Webometrie (2006) 0.01
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    Abstract
    Die Webometrie ist ein Teilbereich der Informationswissenschaft der zur Zeit auf die Analyse von Linkstrukturen konzentriert ist. Er ist stark von der Zitationsanalyse geprägt, wie der empirische Schwerpunkt auf der Wissenschaftsanalyse zeigt. In diesem Beitrag diskutieren wir die Nutzung linkbasierter Maße in einem breiten informetrischen Kontext und bewerten verschiedene Verfahren, auch im Hinblick auf ihr generelles Potentialfür die Sozialwissenschaften. Dabei wird auch ein allgemeiner Rahmenfür Linkanalysen mit den erforderlichen Arbeitsschritten vorgestellt. Abschließend werden vielversprechende zukünftige Anwendungsfelder der Webometrie benannt, unter besonderer Berücksichtigung der Analyse von Blogs.
    Date
    4.12.2006 12:12:22
    Source
    Information - Wissenschaft und Praxis. 57(2006) H.8, S.401-406
  3. Thelwall, M.; Thelwall, S.: ¬A thematic analysis of highly retweeted early COVID-19 tweets : consensus, information, dissent and lockdown life (2020) 0.00
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    Abstract
    Purpose Public attitudes towards COVID-19 and social distancing are critical in reducing its spread. It is therefore important to understand public reactions and information dissemination in all major forms, including on social media. This article investigates important issues reflected on Twitter in the early stages of the public reaction to COVID-19. Design/methodology/approach A thematic analysis of the most retweeted English-language tweets mentioning COVID-19 during March 10-29, 2020. Findings The main themes identified for the 87 qualifying tweets accounting for 14 million retweets were: lockdown life; attitude towards social restrictions; politics; safety messages; people with COVID-19; support for key workers; work; and COVID-19 facts/news. Research limitations/implications Twitter played many positive roles, mainly through unofficial tweets. Users shared social distancing information, helped build support for social distancing, criticised government responses, expressed support for key workers and helped each other cope with social isolation. A few popular tweets not supporting social distancing show that government messages sometimes failed. Practical implications Public health campaigns in future may consider encouraging grass roots social web activity to support campaign goals. At a methodological level, analysing retweet counts emphasised politics and ignored practical implementation issues. Originality/value This is the first qualitative analysis of general COVID-19-related retweeting.
    Date
    20. 1.2015 18:30:22
    Language
    e
  4. Thelwall, M.; Kousha, K.: Academia.edu : Social network or Academic Network? (2014) 0.00
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    Abstract
    Academic social network sites Academia.edu and ResearchGate, and reference sharing sites Mendeley, Bibsonomy, Zotero, and CiteULike, give scholars the ability to publicize their research outputs and connect with each other. With millions of users, these are a significant addition to the scholarly communication and academic information-seeking eco-structure. There is thus a need to understand the role that they play and the changes, if any, that they can make to the dynamics of academic careers. This article investigates attributes of philosophy scholars on Academia.edu, introducing a median-based, time-normalizing method to adjust for time delays in joining the site. In comparison to students, faculty tend to attract more profile views but female philosophers did not attract more profile views than did males, suggesting that academic capital drives philosophy uses of the site more than does friendship and networking. Secondary analyses of law, history, and computer science confirmed the faculty advantage (in terms of higher profile views) except for females in law and females in computer science. There was also a female advantage for both faculty and students in law and computer science as well as for history students. Hence, Academia.edu overall seems to reflect a hybrid of scholarly norms (the faculty advantage) and a female advantage that is suggestive of general social networking norms. Finally, traditional bibliometric measures did not correlate with any Academia.edu metrics for philosophers, perhaps because more senior academics use the site less extensively or because of the range informal scholarly activities that cannot be measured by bibliometric methods.
    Language
    e
  5. Thelwall, M.; Kousha, K.; Abdoli, M.; Stuart, E.; Makita, M.; Wilson, P.; Levitt, J.: Why are coauthored academic articles more cited : higher quality or larger audience? (2023) 0.00
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    Abstract
    Collaboration is encouraged because it is believed to improve academic research, supported by indirect evidence in the form of more coauthored articles being more cited. Nevertheless, this might not reflect quality but increased self-citations or the "audience effect": citations from increased awareness through multiple author networks. We address this with the first science wide investigation into whether author numbers associate with journal article quality, using expert peer quality judgments for 122,331 articles from the 2014-20 UK national assessment. Spearman correlations between author numbers and quality scores show moderately strong positive associations (0.2-0.4) in the health, life, and physical sciences, but weak or no positive associations in engineering and social sciences, with weak negative/positive or no associations in various arts and humanities, and a possible negative association for decision sciences. This gives the first systematic evidence that greater numbers of authors associates with higher quality journal articles in the majority of academia outside the arts and humanities, at least for the UK. Positive associations between team size and citation counts in areas with little association between team size and quality also show that audience effects or other nonquality factors account for the higher citation rates of coauthored articles in some fields.
    Date
    22. 6.2023 18:11:50
    Language
    e
  6. Li, X.; Thelwall, M.; Kousha, K.: ¬The role of arXiv, RePEc, SSRN and PMC in formal scholarly communication (2015) 0.00
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    Date
    20. 1.2015 18:30:22
    Language
    e
  7. Thelwall, M.: Are Mendeley reader counts high enough for research evaluations when articles are published? (2017) 0.00
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    Date
    20. 1.2015 18:30:22
    Language
    e
  8. Thelwall, M.; Buckley, K.; Paltoglou, G.; Cai, D.; Kappas, A.: Sentiment strength detection in short informal text (2010) 0.00
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    Date
    22. 1.2011 14:29:23
    Language
    e
  9. Thelwall, M.: Web impact factors and search engine coverage (2000) 0.00
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    Date
    10. 3.1997 20:31:13
    Language
    e
  10. Thelwall, M.; Vaughan, L.: New versions of PageRank employing alternative Web document models (2004) 0.00
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    Date
    12. 3.2001 11:34:20
    20. 1.2007 18:32:28
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  11. Thelwall, M.: Bibliometrics to webometrics (2009) 0.00
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    Date
    20. 8.2009 14:17:42
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  12. Vaughan, L.; Thelwall, M.: ¬A modelling approach to uncover hyperlink patterns : the case of Canadian universities (2005) 0.00
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    Date
    26.12.2007 20:17:31
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  13. Thelwall, M.; Binns, R.; Harries, G.; Page-Kennedy, T.; Price, L.; Wilkinson, D.: Custom interfaces for advanced queries in search engines (2001) 0.00
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    Date
    12. 3.2001 11:34:20
    20. 1.2007 19:24:48
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  14. Thelwall, M.: Directing students to new information types : a new role for Google in literature searches? (2005) 0.00
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    Date
    3. 6.2007 16:37:29
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  15. Thelwall, M.: Can Google's PageRank be used to find the most important academic Web pages? (2003) 0.00
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    Date
    10. 3.1997 20:31:13
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  16. Thelwall, M.: ¬A comparison of sources of links for academic Web impact factor calculations (2002) 0.00
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    Date
    10. 3.1997 20:31:13
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  17. Thelwall, M.; Wilkinson, D.; Uppal, S.: Data mining emotion in social network communication : gender differences in MySpace (2009) 0.00
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    Abstract
    Despite the rapid growth in social network sites and in data mining for emotion (sentiment analysis), little research has tied the two together, and none has had social science goals. This article examines the extent to which emotion is present in MySpace comments, using a combination of data mining and content analysis, and exploring age and gender. A random sample of 819 public comments to or from U.S. users was manually classified for strength of positive and negative emotion. Two thirds of the comments expressed positive emotion, but a minority (20%) contained negative emotion, confirming that MySpace is an extraordinarily emotion-rich environment. Females are likely to give and receive more positive comments than are males, but there is no difference for negative comments. It is thus possible that females are more successful social network site users partly because of their greater ability to textually harness positive affect.
    Language
    e
  18. Thelwall, M.: Assessing web search engines : a webometric approach (2011) 0.00
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    Date
    16. 3.2012 20:48:35
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  19. Didegah, F.; Thelwall, M.: Determinants of research citation impact in nanoscience and nanotechnology (2013) 0.00
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    Date
    20. 4.2013 16:08:36
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  20. Thelwall, M.; Delgado, M.M.: Arts and humanities research evaluation : no metrics please, just data (2015) 0.00
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    Date
    10. 3.1997 20:31:13
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    e