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Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Raw data of a field experiment to assess the effect of plant residue quality, and diversity, applied as mulch, on nitrogen mineralization and on soil microbial biomass at later stages of decomposition, on crop plant quality, and on the quality of the crop residues at the end of the growing season
No full textThis dataset concerns a field experiment conducted at the Crop Research Unit of the University of Reading in UK in 2019. Wheat plants were grown in field plots of 1.6 m2, and mulch of diverse plant residues of whole plants were applied. The purpose of the experiment was to assess the effect of quality, and diversity of plant residue mulch on N mineralization and on soil microbial biomass at later stages of decomposition, on crop plant quality, and on the quality of the crop residues at the end of the growing season. There were five different types of plant residues: i) Perennial rye grass (P) (1 plant species), ii) Smart grass (S) (6 plant species), iii) Biomix (B) (12 plant species), iv) Herbal mix (H) (17 plant species), and Wood chips (W), and there was also a Control treatment with no residues. Therefore, there were 6 different treatments in total in 5 replicates. Soil samples were collected on days 25, 52, and 90 after mulch application. The dataset consists of 3 parts: 1) data relevant to the plant residues that were applied as mulch on the field plots, 2) data relevant to the field soil, and 3) data relevant to the wheat plants which were cultivated in the field plots
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe 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
Raw data of an experiment to assess the effect of plant residue size, quality, and diversity, applied as mulch, on soil nutrient dynamics, on Arbuscular Mycorrhizal Fungi root colonization, and on crop plant yield and quality.
No full textThis dataset concerns an experiment conducted in rhizotrons in 2018 at the University of Reading in UK. Two barley plants were grown in each rhizotron, and mulch of diverse plant residues were applied. The purpose of the experiment was to assess the effect of size, quality, and diversity of plant residue mulch on soil nutrients, on Arbuscular Mycorrhizal Fungi root colonization, and on crop plant yield and quality. There were four different types of plant residues: i) Perennial rye grass (P) (1 plant species), ii) Smart grass (S) (6 plant species), iii) Biomix (B) (12 plant species), and iv) Herbal mix (H) (17 plant species). Each residue type was separated in a short residue treatment (residue size 1.5 cm), and in a long residue treatment (residue size about 30 cm) and there was also a Control treatment with no residues. Therefore, there were 9 different treatments in total. Soil samples were collected on day 70 and on day 137 after mulch application. The dataset consists of 3 parts:
i) data relevant to the barley plants (Hordeum vulgare L., var. Laureate) which were cultivated in rhizotrons. Data characteristics recorded concern the growth rate of barley plants (main stem elongation rate, length of ears), the dry mass of different parts of the barley plants (overground plants, roots, ears, and seeds), seed quality (C, N, and protein content), yield, and Arbuscular Mycorrhizal Fungi root colonization,
ii) data relevant to the plant residues that were applied as mulch on the soil surface of the rhizotrons. Data characteristics recorded concern plant residue initial dry mass, recalcitrance, C and N content, and final plant residue dry mass, C and N content,
iii) data relevant to the soil of the rhizotrons. Data characteristics recorded concern soil available N as NO3- and NH4+, soil available P, K, Mg, Fe, Mn, Zn, and Cu, soil bulk density, and soil solution pH
Raw data of an experiment to assess the effect of plant residue quality, and diversity, applied as mulch, on soil nutrient dynamics, on soil microbial biomass, and on crop plant yield and quality.
No full textThis dataset concerns an experiment conducted in rhizotrons in 2019 at the University of Reading in UK. One barley plant was grown in each rhizotron, and mulch of diverse plant residues of about 30 cm size (the length of rhizotron surface) were applied. The purpose of the experiment was to assess the effect of quality, and diversity of plant residue mulch on soil nutrients, on soil microbial biomass, and on crop plant yield and quality. There were five different types of plant residues: i) Perennial rye grass (P) (1 plant species), ii) Smart grass (S) (6 plant species), iii) Biomix (B) (12 plant species), iv) Herbal mix (H) (17 plant species), and Wood chips (W), and there was also a Control treatment with no residues. Therefore, there were 6 different treatments in total in 5 replicates. Soil samples were collected on day 69 and on day 195 after mulch application. There is data relevant to the barley crop plants, to plant residues, and to the soil
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The effect of plant-based mulches on soil properties that influence crop yield
Full text linkPlant-based mulches can improve soil physical conditions. In addition, shredded mulches of high
quality are shown to enrich soil nutrients more than those of lower quality in a short term. However,
the effect of size and quality of diverse mulches on soil nutrients and soil microbiology at later stages
of decomposition has not been properly investigated. I hypothesized that, at later stages of
decomposition, long size diverse residue mulch maintains higher fertilization capacity than short
residues, and residue quality affects soil microbiology due to changes in decomposition rates,
influencing soil nutrients and crop quality, but not crop yield.
Two rhizotron and one field experiments were conducted to evaluate the effect of mulch residue size
(30 cm) and diversity on soil chemistry and microbiology at later stages of decomposition,
and on crop yield, crop quality, and residue quality at the end of the growing season. Residue mixes of
17, 12, 6, and 1 plant species, wood chips and control treatment with no residues were used.
Residue biomass loss was not affected by its size, but it was higher in residues of higher quality. Long
residues retained higher fertilization capacity than short residues at harvest. Residues of lower quality
had higher fertilization capacity than those of higher quality at a timepoint long after harvest. In field,
the remaining residues mixed with crop residues at harvest produced residues of higher quality than
the crop residues alone. Residue quality affected crop quality but not yield. Soil nutrients were affected
by both residue size and residue quality. There were indications that residue quality affected soil
microbial biomass, at later stages of decomposition, although differences were not significant, and
Arbuscular Mycorrhizal fungi root colonization was increased with increasing residue plant species
richness.
Generally, mulches of diverse residues can maintain soil fertility throughout cultivation period. Soil
chemistry can be affected by both residue size and quality, and possibly soil microbiology can be
affected either by residue quality or by residue diversity. Further investigation is needed with
continuous applications of mulches to evaluate their long-term benefits
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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
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