1,720,953 research outputs found
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
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Sage-Bionetworks/agora-data-tools: 0.3.0
<h2>What's Changed</h2>
<ul>
<li>Added transform for biodomain_info by @jaclynbeck-sage in https://github.com/Sage-Bionetworks/agora-data-tools/pull/79</li>
<li>AG-1143/transform distribution data testing by @jaclynbeck-sage in https://github.com/Sage-Bionetworks/agora-data-tools/pull/82</li>
<li>AG-1147/AG-1148/AG-1098: Add tests for rna seq data and rna distribution data by @jaclynbeck-sage in https://github.com/Sage-Bionetworks/agora-data-tools/pull/80</li>
<li>jbeck/AG-1145/transform overall scores testing by @jaclynbeck-sage in https://github.com/Sage-Bionetworks/agora-data-tools/pull/81</li>
<li>AG-1146/transform proteomics distribution testing by @jaclynbeck-sage in https://github.com/Sage-Bionetworks/agora-data-tools/pull/83</li>
<li>AG-841: Add ingest/merge of tep_adi_info into gene_info transform by @jaclynbeck-sage in https://github.com/Sage-Bionetworks/agora-data-tools/pull/84</li>
<li>AG-1196: Sort gene_info.biodomains to generate consistent ordering by @JessterB in https://github.com/Sage-Bionetworks/agora-data-tools/pull/86</li>
<li>AG-1191: Consume updated tep_adi source file by @JessterB in https://github.com/Sage-Bionetworks/agora-data-tools/pull/87</li>
<li>AG-1161 Updated gene_info transform with renamed columns by @jaclynbeck-sage in https://github.com/Sage-Bionetworks/agora-data-tools/pull/88</li>
<li>AG-1150: Update source file and provenance versions to pick up IU nom… by @JessterB in https://github.com/Sage-Bionetworks/agora-data-tools/pull/89</li>
<li>AG-1239: Bump team_info source version to pick up corrected data by @JessterB in https://github.com/Sage-Bionetworks/agora-data-tools/pull/91</li>
<li>[IBCDPE-386] Adds CI step to publish GHCR container by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/92</li>
<li>[IBCDPE-386] Update README.md by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/93</li>
<li>[IBCDPE-683] Updates Python Versions by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/94</li>
<li>Ag-866/Ag-1227 Process SRM DE data by @jaclynbeck-sage in https://github.com/Sage-Bionetworks/agora-data-tools/pull/90</li>
<li>AG-1117: Add new ensembl info fields to gene_info transform by @jaclynbeck-sage in https://github.com/Sage-Bionetworks/agora-data-tools/pull/95</li>
<li>[IBCDPE-527] Makes <code>syn</code> always required by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/97</li>
<li>[IBCDPE-688] Great Expectations Implementation for Metabolomics Data by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/96</li>
<li>[IBCDPE-430] Support shared source file definitions in config by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/99</li>
<li>[IBCDPE-430] Remove the top level array in the configuration files by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/98</li>
<li>Updated GWAS pre-processing step to remove HASGs from BioMart by @jaclynbeck-sage in https://github.com/Sage-Bionetworks/agora-data-tools/pull/100</li>
<li>[IBCDPE-421] Deprecates <code>agoradatatools/etl/test.py</code> by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/101</li>
<li>[IBCDPE-734] Updates <code>pyarrow</code> Version by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/102</li>
<li>[IBCDPE-712] Implement Great Expectations for the <code>genes_biodomains</code> Datset by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/103</li>
<li>AG-1305: Validate '23 new nominations and related data updates by @JessterB in https://github.com/Sage-Bionetworks/agora-data-tools/pull/104</li>
<li>AG-1305: Bump source file versions to pick up misc data fixes by @JessterB in https://github.com/Sage-Bionetworks/agora-data-tools/pull/105</li>
<li>AG-1305: Bump harmonized_targets source version to pick up 2 late nominations by @JessterB in https://github.com/Sage-Bionetworks/agora-data-tools/pull/106</li>
<li>AG-1305: Bump exp_val provenance version to align with source version by @JessterB in https://github.com/Sage-Bionetworks/agora-data-tools/pull/107</li>
<li>AG-1305: Bump source file versions in config.yaml for prod processing by @JessterB in https://github.com/Sage-Bionetworks/agora-data-tools/pull/108</li>
<li>AG-1305: Pick up final source file adjustments for 23 nominations by @JessterB in https://github.com/Sage-Bionetworks/agora-data-tools/pull/109</li>
<li>AG-1305: Bump targets source version to collapse metabolom(e)(ics) GCT filters by @JessterB in https://github.com/Sage-Bionetworks/agora-data-tools/pull/110</li>
<li>[IBCDPE-419] Initial Setup of <code>pre-commit</code> for ADT by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/112</li>
<li>[AG-1314] JSON Schema Validation GX Prototyping by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/111</li>
<li>Updated nest_fields util function by @jaclynbeck-sage in https://github.com/Sage-Bionetworks/agora-data-tools/pull/114</li>
<li>[IBCDPE-791] Implement Great Expectations for the <code>overall_scores</code> Dataset by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/115</li>
<li>SRM remove multiple ENSGs per peptide by @jaclynbeck-sage in https://github.com/Sage-Bionetworks/agora-data-tools/pull/113</li>
<li>[IBCDPE-790] Implement Great Expectations for the <code>neuropath_corr</code> Dataset by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/116</li>
<li>[IBCDPE-792] Implement Great Expectations for the <code>proteomics_distribution_data</code> Dataset by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/118</li>
<li>[IBCDPE-793] Implement Great Expectations for the <code>proteomics_tmt</code> Dataset by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/119</li>
<li>[IBCDPE-800] Bumps pandas and synapseclient versions by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/122</li>
<li>[IBCDPE-798] Implements GX Expectation Suite for <code>team_info</code> Dataset by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/123</li>
<li>Updated biodomains file to v5 by @jaclynbeck-sage in https://github.com/Sage-Bionetworks/agora-data-tools/pull/125</li>
<li>Jbeck/ag 1144/transform gene info testing by @jaclynbeck-sage in https://github.com/Sage-Bionetworks/agora-data-tools/pull/121</li>
<li>Fix genes_biodomains transform to drop duplicate rows by @jaclynbeck-sage in https://github.com/Sage-Bionetworks/agora-data-tools/pull/127</li>
<li>Bumped version of target_exp_validation_harmonized by @jaclynbeck-sage in https://github.com/Sage-Bionetworks/agora-data-tools/pull/128</li>
<li>[AG-1386] Implement Error Catching for GX Data Validation by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/129</li>
<li>[IBCDPE-797] Adds <code>target_exp_validation_harmonized</code> Expectation Suite by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/126</li>
<li>[IBCDPE-835] Revamps GX Report Uploads by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/130</li>
<li>[AG-1385] Fixes JSON Schema expectation passing when it should fail by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/131</li>
<li>Update gene metadata file to remove biomart-only genes by @jaclynbeck-sage in https://github.com/Sage-Bionetworks/agora-data-tools/pull/132</li>
<li>[IBCDPE-946] Adds Optional Uploading by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/133</li>
<li>Updates CI Workflow by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/134</li>
</ul>
<p><strong>Full Changelog</strong>: https://github.com/Sage-Bionetworks/agora-data-tools/compare/0.2.0...0.3.0</p>
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
Author Under Sail The Imagination of Jack London, 1893-1902
In Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Intro -- Title Page -- Copyright Page -- Dedication -- Contents -- Acknowledgments -- Introduction -- 1. Spirit Truth -- 2. From Absorption to Theatricality and Back Again -- 3. "I Will Build a New Present" -- 4. Sons as Authors -- 5. Fathers as Publishers -- 6. The Daughter as Author -- 7. Lovers as Authors -- 8. At Sea with the Family -- 9. Yellow News, Yellow Stories -- 10. The Return Home -- Notes -- Bibliography -- Index -- About Jay WilliamsIn Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Description based on publisher supplied metadata and other sources.Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, YYYY. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries
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