A surname-based bibliometric indicator: publications in biomedical journal

Kissin, Igor

doi:10.1007/s11192-011-0437-3

Cited by 4 publications

(4 citation statements)

References 3 publications

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“…Another publication on productivity of nine Jewish surname-based groups (based on the same criteria) reported the ratio of the actual number to expected number of articles as 9.7. [1] This is actually the same value as that observed in the present study in established areas of research.…”

Section: Discussionsupporting

confidence: 90%

“…In a previous study, [1] frequency of a surname among the general population and the number of articles published in biomedical journals by all authors with exactly the same surname were used to estimate surname-based article-related productivity. In this study, we used this surname-based index to analyze the migration of scientists to novel areas of research.…”

Section: Introductionmentioning

confidence: 99%

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Migration of scientists to novel areas of biomedical research: Role of article-related productivity

Kissin¹,

Bradley²

2013

J Sci Res

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In a previous study (Kissin 2011), frequency of a surname among the general population and the number of articles published by all authors with exactly the same surname were used to estimate surname-based article-related productivity. The main aim of this study was to test the hypothesis that researchers with high productivity are more heavily represented in emerging areas of research than in established areas. As the basis for this study, we used our results on a set of 96 Jewish surname-based groups that have high ratios of actual to expected number of articles (Kissin and Bradley 2013). Seven emerging areas of biomedical research ("angioplasty," "coronary angiography," "genomics," "HIV infections," "meta-analysis," "statins," and "stem cells") were paired with well-established areas. It was found that disproportionally high representation of 96 Jewish surname-based groups in well-established areas (10.2 ± 0.4, mean ± SE) is even higher in emerging areas (18.2 ± 2.6, P < 0.03), indicating a disproportional gravitation of these scientists to emerging areas of biomedical research.

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Section: Discussionsupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Migration of scientists to novel areas of biomedical research: Role of article-related productivity

Kissin¹,

Bradley²

2013

J Sci Res

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“…Surname classification has been used to supplement racial or in place of ethnic classification, when racial or ethnic information is absent or limited for many different racial, ethnic, religious and national origin groups. This includes Hispanic or Latino groups (57), people of Arab ancestry (58,59) European ethnic groups or descendants from specific European countries (60), American Jews (61,62), South Asians, Asian Americans (63), and others (64,65). Methods range from matching surnames to existing lists, using surnames in combination with other information such as geographic residence (66), and using hot deck imputation procedures that use surnames in conjunction with racial or ethnic information from similar people in a dataset (67).…”

Section: Surname Criteriamentioning

confidence: 99%

Operationalizing racialized exposures in historical research on anti-Asian racism and health: a comparison of two methods

Kaniecki

Novak

Gao

et al. 2023

Front. Public Health

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BackgroundAddressing contemporary anti-Asian racism and its impacts on health requires understanding its historical roots, including discriminatory restrictions on immigration, citizenship, and land ownership. Archival secondary data such as historical census records provide opportunities to quantitatively analyze structural dynamics that affect the health of Asian immigrants and Asian Americans. Census data overcome weaknesses of other data sources, such as small sample size and aggregation of Asian subgroups. This article explores the strengths and limitations of early twentieth-century census data for understanding Asian Americans and structural racism.MethodsWe used California census data from three decennial census spanning 1920–1940 to compare two criteria for identifying Asian Americans: census racial categories and Asian surname lists (Chinese, Indian, Japanese, Korean, and Filipino) that have been validated in contemporary population data. This paper examines the sensitivity and specificity of surname classification compared to census-designated “color or race” at the population level.ResultsSurname criteria were found to be highly specific, with each of the five surname lists having a specificity of over 99% for all three census years. The Chinese surname list had the highest sensitivity (ranging from 0.60–0.67 across census years), followed by the Indian (0.54–0.61) and Japanese (0.51–0.62) surname lists. Sensitivity was much lower for Korean (0.40–0.45) and Filipino (0.10–0.21) surnames. With the exception of Indian surnames, the sensitivity values of surname criteria were lower for the 1920–1940 census data than those reported for the 1990 census. The extent of the difference in sensitivity and trends across census years vary by subgroup.DiscussionSurname criteria may have lower sensitivity in detecting Asian subgroups in historical data as opposed to contemporary data as enumeration procedures for Asians have changed across time. We examine how the conflation of race, ethnicity, and nationality in the census could contribute to low sensitivity of surname classification compared to census-designated “color or race.” These results can guide decisions when operationalizing race in the context of specific research questions, thus promoting historical quantitative study of Asian American experiences. Furthermore, these results stress the need to situate measures of race and racism in their specific historical context.

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“…However, most such studies depend on peoples’ names (Hopkins et al 2013). Surname as a proxy was used to show the ethnicity of authors of publications and inventors of patents in biomedical research (Kissin 2011; Kissin and Bradley 2013). The differences in citations to papers by men and women in Iceland (Lewison 2001), Poland (Webster 2001), South Africa (Prozesky and Boshoff 2012), and Russia (Lewison and Markusova 2011) were also examined by this method.…”

Section: Scientific Personnel: Ethnicity and Sexmentioning

confidence: 99%

The contribution of ethnic groups to Malaysian scientific output, 1982–2014, and the effects of the new economic policy

et al. 2016

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Malaysia has three main ethnic communities: Chinese, Indians and Malays. At independence in 1957, the Chinese dominated commercial life, and this led to ethnic tensions and finally riots. As a result in 1969 Malaysia introduced a “New Economic Policy” (NEP) to promote Malays in all areas of activity, and in particular to assist them to obtain basic and higher education. We examined the scientific outputs from Malaysia between 1982 and 2014 and classified the names of Malaysian researchers into one of these three groups and two others. There was a major increase in Malay participation in research, which has risen from 20 % of researchers in 1982–1984 to 65 % in 2012–2014, with corresponding declines in the percentages of Chinese and Indian authors, although their absolute numbers have increased because Malaysian scientific output has increased so rapidly in the last 10 years. The huge increase in Malay researchers contrasts with their presence in the Malaysian population which has remained stable at about 50 % since 1969.

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A surname-based bibliometric indicator: publications in biomedical journal

Abstract: Surnames have been used as a proxy in studies on health care for various ethnic groups and also applied to ascribe ethnicity in studies on the genetic structure of a population.

Cited by 4 publications

References 3 publications

Migration of scientists to novel areas of biomedical research: Role of article-related productivity

Migration of scientists to novel areas of biomedical research: Role of article-related productivity

Operationalizing racialized exposures in historical research on anti-Asian racism and health: a comparison of two methods

The contribution of ethnic groups to Malaysian scientific output, 1982–2014, and the effects of the new economic policy

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