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612 results for “citing”
Data of top 50 most cited articles about COVID-19 and the complications of COVID-19
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Data of the article "Journal research data sharing policies: a study of highly-cited journals in neuroscience, physics, and operations research"
<p>The journals’ author guidelines and/or editorial policies were examined on whether they take a stance with regard to the availability of the underlying data of the submitted article. The mere explicated possibility of providing supplementary material along with the submitted article was not considered as a research data policy in the present study. Furthermore, the present article excluded source codes or algorithms from the scope of the paper and thus policies related to them are not included in the analysis of the present article.</p> <p>For selection of journals within the field of neurosciences, Clarivate Analytics’ InCites Journal Citation Reports database was searched using categories of neurosciences and neuroimaging. From the results, journals with the 40 highest Impact Factor (for the year 2017) indicators were extracted for scrutiny of research data policies. Respectively, the selection journals within the field of physics was created by performing a similar search with the categories of physics, applied; physics, atomic, molecular & chemical; physics, condensed matter; physics, fluids & plasmas; physics, mathematical; physics, multidisciplinary; physics, nuclear and physics, particles & fields. From the results, journals with the 40 highest Impact Factor indicators were again extracted for scrutiny. Similarly, the 40 journals representing the field of operations research were extracted by using the search category of operations research and management. </p> <p>Journal-specific data policies were sought from journal specific websites providing journal specific author guidelines or editorial policies. Within the present study, the examination of journal data policies was done in May 2019. The primary data source was journal-specific author guidelines. If journal guidelines explicitly linked to the publisher’s general policy with regard to research data, these were used in the analyses of the present article. If journal-specific research data policy, or lack of, was inconsistent with the publisher’s general policies, the journal-specific policies and guidelines were prioritized and used in the present article’s data. If journals’ author guidelines were not openly available online due to, e.g., accepting submissions on an invite-only basis, the journal was not included in the data of the present article. Also journals that exclusively publish review articles were excluded and replaced with the journal having the next highest Impact Factor indicator so that each set representing the three field of sciences consisted of 40 journals. The final data thus consisted of 120 journals in total. </p> <p>‘Public deposition’ refers to a scenario where researcher deposits data to a public repository and thus gives the administrative role of the data to the receiving repository. ‘Scientific sharing’ refers to a scenario where researcher administers his or her data locally and by request provides it to interested reader. Note that none of the journals examined in the present article required that all data types underlying a submitted work should be deposited into a public data repositories. However, some journals required public deposition of data of specific types. Within the journal research data policies examined in the present article, these data types are well presented by the Springer Nature policy on “Availability of data, materials, code and protocols” (Springer Nature, 2018), that is, DNA and RNA data; protein sequences and DNA and RNA sequencing data; genetic polymorphisms data; linked phenotype and genotype data; gene expression microarray data; proteomics data; macromolecular structures and crystallographic data for small molecules. Furthermore, the registration of clinical trials in a public repository was also considered as a data type in this study. The term <em>specific data types</em> used in the custom coding framework of the present study thus refers to both life sciences data and public registration of clinical trials. These data types have community-endorsed public repositories where deposition was most often mandated within the journals’ research data policies.</p> <p>The term ‘location’ refers to whether the journal’s data policy provides suggestions or requirements for the repositories or services used to share the underlying data of the submitted works. A mere general reference to ‘public repositories’ was not considered a location suggestion, but only references to individual repositories and services. The category of ‘immediate release of data’ examines whether the journals’ research data policy addresses the timing of publication of the underlying data of submitted works. Note that even though the journals may only encourage public deposition of the data, the editorial processes could be set up so that it leads to either publication of the research data or the research data metadata in conjunction to publishing of the submitted work.<em> </em></p> <p> </p>
Citation contexts of papers citing Merton's work "Social Theory and Social Structure"
<p>Citation contexts of papers citing Merton's work "Social Theory and Social Structure" based on MAG. Please see also:</p> <p>https://aka.ms/msracad</p> <p>Arnab Sinha, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, Bo-June (Paul) Hsu, and Kuansan Wang.<br> 2015. An Overview of Microsoft Academic Service (MA) and Applications. In Proceedings of the 24th<br> International Conference on World Wide Web (WWW '15 Companion). ACM, New York, NY, USA,<br> 243-246. DOI=http://dx.doi.org/10.1145/2740908.2742839</p> <p> </p> <p> </p>
Raw and aggregated data for the study introduced in the article "Citing and referencing habits in Medicine and Social Sciences journals in 2019"
<p>This dataset contains all the raw data and aggregated data subject of the study introduced in the article "Citing and referencing habits in Medicine and Social Sciences journals in 2019". The study is based on the bibliographic and citation data contained in 213 articles published in 46 journals in two subject areas: Medicine and Social Sciences. The articles contained a total amount of 9,911 bibliographic references and 16,193 mentions and quotations overall. In particular, the raw data are about 27 journals, 132 articles, 5,340 bibliographic references, 8,400 mentions and 5 quotations in Medicine, and 19 journals, 81 articles, 4,571 bibliographic references, 6,953 mentions and 835 quotations in Social Sciences.</p> <p>The dataset is composed of three files:</p> <ul> <li>the file "medicine-journals.csv" contains the raw data of the articles published in Medicine journals;</li> <li>the file "social-sciences-journals.csv" contains the raw data of the articles published in Social Sciences journals;</li> <li>the file "aggregated-data-medicine-social-sciences.csv" contains the aggregated data created considering the raw data in the previous files, which have been used to creating all the tables and figures in the article.</li> </ul>
Cited references and records of Imperial College London institutional repository grey literature
<p>Cited references (all time) to items published under Imperial College London's grey literature DOI prefix 10.25561 and bibliographic data of deposited Reports in the repository (2016-2020).</p>
Data from: The location of the citation: changing practices in how publications cite original data in the Dryad Digital Repository
While stakeholders in scholarly communication generally agree on the importance of data citation, there is not consensus on where those citations should be placed within the publication – particularly when the publication is citing original data. Recently, CrossRef and the Digital Curation Center (DCC) have recommended as a best practice that original data citations appear in the works cited sections of the article. In some fields, such as the life sciences, this contrasts with the common practice of only listing data identifier(s) within the article body (intratextually). We inquired whether data citation practice has been changing in light of the guidance from CrossRef and the DCC. We examined data citation practices from 2011 to 2014 in a corpus of 1,125 articles associated with original data in the Dryad Digital Repository. The percentage of articles that include no reference to the original data has declined each year, from 31% in 2011 to 15% in 2014. The percentage of articles that include data identifiers intratextually has grown from 69% to 83%, while the percentage that cite data in the works cited section has grown from 5% to 8%. If the proportions continue to grow at the current rate of 19-20% annually, the proportion of articles with data citations in the works cited section will not exceed 90% until 2030.
Supplementary material 1 from: Heinrich S, Gomez L (2021) India's use of CITES Appendix III. Nature Conservation 44: 163-176. https://doi.org/10.3897/natureconservation.44.63688
Table S1
Data From: Getting cited early: influence of visibility strategies, structure, and focal system on early citation rates
<p>Elucidating factors that contribute to citation rates of scientific articles can help scientists write manuscripts that have a stronger influence on their scientific field and wildlife management, and are accessible to a broad audience. Using a cohort of 778 articles published in <i>The Journal of Wildlife Management</i> from 2011–2015, we examined how visibility strategies (e.g., open access, increasing the Atlmetric Attention Score, self-citations), article structure, and focal system – all factors authors can predominantly control – influenced the accumulation of citations over various time frames within the first 5 years after publication, and the number of days until an article received its first citation. Visibility strategies influenced the number of citations accrued within the first year following publication. Our model explained less of the variation in number of citations received 1 year post-publication compared to 5 years post-publication (R<sup>2</sup> increased from 0.12 to 0.57 from years 1 to 5). Two years post-publication, factors associated with an article's visibility increased citation counts, and factors associated with article structure and focal system became important. Our analyses suggest citation rates, within wildlife ecology, are influenced by a number of controllable factors and that the influence of an article on science and management can be increased by authors pursuing a variety of visibility strategies.</p>
Supplementary material 1 from: D'Cruze N, Macdonald DW (2016) Tip of an iceberg: global trends in CITES wildlife confiscations. Nature Conservation 15: 47-63. https://doi.org/10.3897/natureconservation.15.10005
CITES WCMC Trade database (2010-2014) :
Supplemental material for 'A quest through interconnected datasets: lessons from highly-cited ICASSP papers'
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High Cited publications in Scientometrics Research
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Linked collectors and determiners for: Evaluación del estatus de los géneros Pereskiopsis y Pereskia (Cactaceae) en los Apéndices de la CITES.
Natural history specimen data linked to collectors and determiners held within, "Evaluación del estatus de los géneros Pereskiopsis y Pereskia (Cactaceae) en los Apéndices de la CITES". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/7fb331fe-f762-11e1-a439-00145eb45e9a">https://bionomia.net/dataset/7fb331fe-f762-11e1-a439-00145eb45e9a</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/7fb331fe-f762-11e1-a439-00145eb45e9a">https://gbif.org/dataset/7fb331fe-f762-11e1-a439-00145eb45e9a</a>. Formatted as a Frictionless Data package.
Classification for Scopus based on references reclassified by the origin of the papers citing them
<p>CSV file consisting of three columns:<br>Itemid: Identification of the record in Scopus<br>ASJC: Four-digit code of the ASJC (All Science Journal Classifications) category of Scopus.<br>Weight: Weight associated with the assignment.</p>
Data from: The location of the citation: changing practices in how publications cite original data in the Dryad Digital Repository
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Data From: Getting cited early: influence of visibility strategies, structure, and focal system on early citation rates
Open the record for dataset details and reuse information.
CITE-Seq analysis of total PBMC pre- and post-PfSPZ vaccination in the IMRAS trial
GEO Series GSE191332. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
scRNAseq of isolated fetal liver erythroid progenitor cell subpopulations, and CITE-seq of mouse fetal liver erythroid progenitors
GEO Series GSE188287. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing; Other.
CITE-seq analysis of mouse LSK cells
GEO Series GSE145491. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
CITE-seq of Neuropilin 2-expressing CD4+ T cells
GEO Series GSE225955. Homo sapiens. 1 samples. Type: Expression profiling by high throughput sequencing; Other.
Neoadjuvant CD40 agonism remodels the tumor immune microenvironment in locally advanced esophageal/gastroesophageal junction cancer [CITE-seq]
GEO Series GSE244746. Homo sapiens. 24 samples. Type: Expression profiling by high throughput sequencing; Other.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.