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1970
2024
1970 2024
136 results
  • Evolving patterns of extreme publishing behavior across science
    Author information for: Hyperprolific physics authors by year 2000-2022 inclusive. Author needs to have 73 or more publications in a year to qualify and their main field from 2000 to 2022 is Physics & Astronomy Hyperprolific non-physics authors by year 2000-2022 inclusive. Author needs to have 73 or more publications in a year to qualify and their main field from 2000 to 2022 must not be Physics & Astronomy Almost Hyperprolific physics authors by year 2000-2022 inclusive. Author needs to have between 61 and 72 publications in a year to qualify and their main field from 2000 to 2022 is Physics & Astronomy Almost Hyperprolific non-physics authors by year 2000-2022 inclusive. Author needs to have between 61 and 72 publications in a year to qualify and their main field from 2000 to 2022 must not be Physics & Astronomy Data: year - The year of publication of the articles, reviews, and conference proceedings analyzed in this study author_field - The primary field assigned to the author based upon publications and share of publications in the field field - The ScienceMetrix field classification of the journal the publication appears in Pubs_in_field_year - Total number of publications by the author in the given year in the given field Pubs_year_total - Total number of publications by the author in the given year Pubs_in_field_2000_2022 - Total number of publications by the author in the period 2000 to 2022 in the given field, Pubs_2000_2022_total - Total number of publications by the author in the period 2000 to 2022 rank - The author's rank, within their SM subfield, based on citation count rank (ns) - The author's rank, within their SM subfield, based on citation count with self citations excluded sm-subfield-1 - The author's SM subfield rank sm-subfield-1 - The author's rank, within their SM subfield, based upon their citation score rank sm-subfield-1 (ns) - The author's rank, within their SM subfield, based upon their citation score excluding self citations sm-subfield-1 count - The number of authors in the SM subfield Subfield_Percentile - 100 * rank/count Subfield_Percentile_ns - 100 * rank (ns)/count author_name - Author's name from their Scopus Author Profile hidx - The author's career H-Index affil_name - The name of the author's most recent affiliation cntry - The country of the author's most recent affiliation Total_Pubs - The number of articles, reviews, and conference proceedings from the affiliation in the period Pubs_with_more_than_100_authors - The number of articles, reviews, and conference proceedings from the affiliation in the period with more than 100 authors Pubs_with_more_than_500_authors - The number of articles, reviews, and conference proceedings from the affiliation in the period with more than 500 authors Pubs_with_more_than_1000_authors - The number of articles, reviews, and conference proceedings from the affiliation in the period with more than 1000 authors
    • Dataset
  • Newton's Third Law of Motion
    This data describes Newton's third law of motion which states that "in every action there is an opposite or equal reaction".
    • Dataset
  • Elsevier Author Aid Human Disease Collection, part 4 (Cancers)
    -----> Human Disease Author Aid Collection combines information about human diseases in standardized, easy-to-navigate overview templates and tables. It includes clinical, molecular, and pharmacological data from several Elsevier's and public sources. Tables are planned to be updated quarterly. -----> Author Aid Templates can be a helpful guide for authors, researchers, clinicians, and students, especially those interested in rare diseases, because it highlights updates and findings from several sources on one page. -----> Each disease template overview includes 6 sections: Terminology; Epidemiology/Demographics; Clinical presentation/Diagnosis; Etiology/Pathology (genetics, biomarkers, pathways); Treatment/Follow-Up; Case studies. Each subset of data is linked to a list of publications with relevant citations. -----> Cancers (Human Disease Author Aid Collection, Part 4) In the current part, selected Gynecological and Brain cancers were chosen based on their prevalence, and data availability. Part 3 includes A) Templates for: Endometrial cancer Ovarian Cancer Сervical cancer Gestational trophoblastic disease Сhoriocarcinoma B) Automatically collected information about 8 Brain Cancers. ----> PLEASE download files to read them and open the links!
    • Dataset
  • 5 Waves Covid-19 in Iran
    During the five waves of the Covid-19 pandemic from January 2020 to September 2021, Iranians’ concern about the number of elderly cases that were adversely affected by Covid-19 highly increased. The present study aimed to evaluate the mental and the physical health of Iranian older adults across the big waves of the Covid-19 pandemic. In an analytical and longitudinal study, the health of 517 older people with a positive test in Covid 19 disease during 5 waves of coronavirus in south Iran.
    • Dataset
  • 測試0316
    測試
    • Dataset
  • Test GA Dataset
    Test GA
    • Dataset
  • Falls efficacy scale-international (the short version) among Iranian older people
    Using SPSS file to integrate the data of FES-I short version in snd mid-year 2021
    • Dataset
  • Elsevier Author Aid Human Diseases Collection, part 2 (Monogenic Rare Diseases)
    -----> Human Disease Author Aid Collection combines information about rare and common diseases in standardized, easy-to-navigate overview templates and tables. It includes clinical, molecular, and pharmacological data from several Elsevier's and public sources. Tables are planned to be updated quarterly. -----> Author Aid Templates can be a helpful guide for authors, researchers, clinicians, and students, especially those interested in rare diseases, because it highlights updates and findings from several sources on one page. -----> Each disease template overview includes 6 sections: Terminology; Epidemiology/Demographics; Clinical presentation/Diagnosis; Etiology/Pathology (genetics, biomarkers, pathways); Treatment/Follow-Up; Case studies. Each subset of data is linked to a list of publications with relevant citations. -----> Monogenic Rare Diseases (Human Disease Author Aid Collection, Part 2) In the current part, monogenic rare diseases were chosen based on their classification, prevalence, and degree of data availability. By "monogenic" we mean diseases that are caused by one or few known mutations. We considered worldwide point prevalence between <1/10 or 100 thousand (worldwide) as a criterion for filtering most significant rare diseases. Contents A) Curated templates about monogenic rare diseases: • Achondroplasia • Facioscapulohumeral dystrophy • Familial Mediterranean fever • Hereditary breast and ovarian cancer syndrome • Huntington disease • Congenital hypothyroidism • Rett syndrome • Usher syndrome • Wilson’s disease • Wiskott-Aldrich syndrome B) Automatically collected information about additional 21 Rare monogenic diseases. -----> PLEASE download files to read them and open the links!
    • Dataset
  • Anna test data
    Test upload ver 3
    • Dataset
  • Data for publication
    Data for publication in Data in Brief
    • Dataset
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