1,721,205 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Sub-Analysis of ELF Score Biomarkers Components Indicates a Specific Correlation with Different Organ Involvement in Systemic Sclerosis.
No full textBackground/Purpose: A recent large multicenter study has identified an
algorithm, known as Enhanced Liver Fibrosis (ELF), by combining the serum
concentrations of amino-terminal propeptide of procollagen type III (PIIINP),
tissue inhibitor of matrix metalloproteinase-1 (TIMP-1) and hyaluronic acid
(HA) in a weighted average developed to match liver fibrosis pathology
scoring The algorithm has been shown to predict liver related outcomes in
patients with chronic liver diseases and recently it has been shown to correlate
with several measures of fibrosis in SSc including modified Rodnan SkinScore, presence of ILD, DLCO as well as age, disease activity and different
aspects of disease severity. The aim of this study was to compare the
performance of ELF with its single components in correlating with the
different clinical and instrumental variables in SSc, to determine whether any
of the three biomarkers could have a specific predictive value as surrogate
outcome measure in SSc.
Methods: The serum concentrations of the three biomarkers were
analysed in 129 SSc patients employing the same platform used to calculate
the ELF score (siemens, advia centaur). All patients were investigated for
clinical and serological subset, disease duration, skin and internal organ
involvement, HAQ-DI, disease severity and activity. Correlations were
calculated using Spearman correlation test. Mann-Whitney test was used to
perform comparison between groups. Statistical analysis was performed using
GraphPrism software.
Results: Median, correlation coefficient and statistical significance of
ELF and its single analytes are summarised in table 1. All three components
of ELF showed a similar strong correlation with mRSS and HAQ-DI,
confirming a strong predictive value on skin involvement. Interestingly, the
concentration of HA was the only parameter correlating with Age, muscle
severity and Heart severity, whereas it did not correlate with DLCO% or lung
severity. In this regard the biomarker with better performance on Lung
involvement was TIMP-1, which showed a strong correlation with DLCO and
lung Severity. Furthermore SSc patients with interstitial lung disease (ILD)
showed significant higher levels of TIMP-1 (P0.0136) and TIMP-1 was the
only biomarker to correlate with the EScSG-Activity Index. On the contrary,
PIIINP was the only one to correlate with Joint and kidney severity.
Coefficient correlation (rho) between ELF score and single serum markers with
clinical parameters in 129 SSc patients
ELF score PIIINP (ng/mL) TIMP-1 (ng/mL) HA (ng/mL)
Serum values
(median, range)
8.84, 6.49–.10.84
rho
6.25, 2.63–.33.06
rho
215.3, 88.5–.531.2
rho
41.53, 4.69–.236.4
rho
Age 0.34*** 0.05 0.11 0.42***
mRSS 0.26** 0.30*** 0.33*** 0.19*
DLCO, absolute value 0.26** 0.1 0.28** 0.20*
DLCO % 0.06 0.05 0.20* 0.02
Skin_sev 0.34*** 0.34*** 0.37*** 0.20*
Join/tendon_sev 0.26** 0.25** 0.13 0.11
Muscle_sev 0.34*** 0.17 0.08 0.26**
GI_sev 0.17* 0.15 0.03 0.09
Lung_sev 0.01 0.01 0.18* 0.11
Heart_sev 0.16 0.08 0.09 0.21*
Kidney_sev 0.16 0.23** 0.001 0.05
EScSG-AI 0.15 0.09 0.20* 0.08
HAQ-DI 0.32*** 0.25** 0.31*** 0.22*
*P0.05; **P0.01; ***P0.001
Conclusion: Subanalysis of the single serum markers included in the ELF
score algorithm suggests that the different biomarkers may function as
surrogate outcome measure of specific organ involvement in SSc. In this
regard, longitudinal studies confirming the predictive value and sensitivity to
change over time of the single biomarkers may pave the way to develop
specific algorithms tailored to carry the maximum predictive value on specific organ involvement in SSc
ELF Score: A Validated Serum Test Strongly Predictive of Fibrosis in Systemic Sclerosis.
No full textBackground/Purpose: The absence of a serum test predictive of
activity or severity in Scleroderma (SSc) is a major burden both for
clinical intervention studies and for clinical management. Recently, a
large multicenter study has identified an algorithm of three serum
biomarkers as predictive of severity and clinical outcome in Chronic Liver
Disease.The algorithm,known as Enhanced Liver Fibrosis (ELF), includes
the measurement of serum concentrations of hyaluronic acid, TIMP-1 and
aminoterminal propeptide of procollagen type III. Objectives: To evaluate
the predictive value of ELF test as surrogate outcome measure of fibrosis
in SSc.
Methods: 210 patients with SSc, all satisfying the ACR criteria for the
classification of the disease, were enrolled in the study. 260 sera were
analysed of which 90 were longitudinal samples from 40 patients. All
patients were investigated for clinical and serological subset, disease
duration, vascular, skin, joint, tendon, muscle, esophago-gastrointestinal,
lung, heart and kidney involvement, disease severity, disease activity
and HAQ-DI. ELF score was determined blindly by an independent
commercial service (iQur, London, UK). Correlations were calculated
using Spearman’s correlation test and an unpaired two-tailed T-test
was used to perform comparison between groups. All the variables found
to be correlated in univariate analysis were subsequently assessed by
step-wise regression analysis. Data were analysed employing SPSS18
software.
Results: The mean ELF score in SSc patients sera was 8.751.05
(normal range 5.97). ELF score correlated with many clinical and
instrumental measures assessing fibrotic involvement including: mRSS (r
0.32;p 0.0001),DLCO (r0.29; p 0.0001), FVC % (r0.21; p
0.038), Ejection Fraction (r0.21; p0.0009). The other variables found to
be correlated with ELF in univariate analysis were Age, ESR, CRP and FVC.
Step-wise regression analysis indicated that the single measures independently
associated with ELF score were mRSS, DLCO, EF and age whereas
ESR, CRP and FVC were not. When compared to complex clinical indexes
ELF score was also found to be correlated with EScSG-Activity Index (r
0.20; p 0.0015), total Medger’s disease severity score (r0.35;p0.0001)
and total HAQ-DI (r0.32;p0.0001).Most interestingly, in the longitudinal
samples ELF test showed a strong sensitivity to change, keeping the
correlation with mRSS ( r0.34 p 0.0009), DLCO (r0.029; p0.029
). In the same cohort of longitudinal samples ELF test was again correlated
with total Severity (r0.49; p 0.0001), EScSG-Activity index ( r
0.21;p0.046), and HAQ-DI (r 0.42;p0.0001).
Conclusion: The ELF test is a simple serum test that strongly
correlates with several measures of fibrosis in SSc. It has a clear face
validity for measuring the concentration of molecules involved in extracellular
matrix turnover and strongly correlates with fibrotic severity and
activity in SSc. The profound sensitivity to change with changes in mRSS,
severity, activity and lung function indicate a clear discriminant validity
of ELF as biomarker in SSc fibrotic involvement. ELF test should be
included in the algorithm of activity index in Scleroderma and considered
as outcome in clinical tri
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe 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
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe 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
No full textWe 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.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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