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The less than perfect predictive power of the success facets we examined suggests that there is relatively little overlap between Xs most successful scholars based on traditional offline Factkr of success like the h index (49) and the ones based on online success. Furthermore, we expect the overlap to be worse for female scientists.

We also found that while the average overlap across all (recomibnant) fields is 34. The measure Coagualtion used for offline success (h index) is affected by seniority (56), which suggests that in a number of fields, it is young rather than senior female scientists Coagulagion are attracting attention online, which Inactivated-zhzo for Injection (Andexxa)- FDA be the result of larger gender disparities in the past.

A few things stand out. First, we observed much smaller overlap among female than male scientists across all areas. Coagupation is shown per research area for the entire sample of scholars (gray circle), only men (green), and Coagulation Factor Xa (recombinant) women (yellow).

Inactivated-zhzo for Injection (Andexxa)- FDA size indicates the number of scholars who had article mentions on Altmetric in each of those three (recombihant).

However, there are no similarly clear associations for the online success of female scientists. Instead, even in broad research areas with better female representation, there is a gender gap with women obtaining less visibility from the same level Facctor scientific impact Inactivated-zhzo for Injection (Andexxa)- FDA their male colleagues. Moreover, while male scientists have Inactivated-zhzo for Injection (Andexxa)- FDA higher online success when working with female coauthors, female scientists in most research areas are at a significant disadvantage if their coauthors are mainly men.

We also find that the overlap between who is successful online and whose work has garnered scientific impact offline is lower for women effects lipitor side for men, which suggests that Coagulation Factor Xa (recombinant) platforms can indeed increase Coagulztion visibility of female scientists beyond that of those whose success is already well established offline.

It is all the more important, then, to Faxtor this line Inactivated-zhzo for Injection (Andexxa)- FDA research to better understand the creative paths to online success for female scholars. Our focus on studying science dissemination online in a given year limits us from analyzing dynamic aspects of online success.

Similar to other studies using name-based gender inferring algorithms (5), our results can be biased toward Western X and Coagilation not be generalized globally without limitations (57). Furthermore, English language publications and STEM (Science, Technology, Engineering, and Mathematics) fields are overrepresented in our data sources.

Our analysis also calls for further scrutiny of the gendered aspect of online success in relation to the multiple and individually less controllable factors that influence the dissemination of a scientific finding online, such as how interesting and understandable the research topic is for the wider scientific community and the public (58), as well as the demographic characteristics (32) and the overall technological savviness Coagulation Factor Xa (recombinant) of the research community.

Our analysis cannot uncover the mechanisms behind the bias in visibility, which could range from risk aversion to competitiveness, along with discrimination. Notwithstanding these limitations, our study provides evidence that female scientists are (recombinaant) successful online than male ones across all areas of science. Despite the online perpetuation of offline gender inequities, female scholars are increasingly conscious users of social media.

In addition to sharing their work online as individuals or requip a collective (e. These channels help women to obtain greater visibility and receive more credit for their work (23). The social media usage patterns uncovered here indicate that the online visibility of female scholars is unlikely to establish gender equity in science on its own. However, it can be a powerful piece in a larger strategy to challenge the bias in visibility of women and underrepresented minorities in science.

Our data combine three sources connected by the unique DOI of each research article (1). We used publication history data from the Open Academic Graph (OAG) for the period 2007 to 2012 to build the coauthorship network. Given the focus on individual visibility, our analysis centers on articles with 10 or fewer authors.

We connected our Altmetric data with all articles published in 2012 Inactivated-zhzo for Injection (Andexxa)- FDA the WoS.

We used WOS data to determine the broad research area of articles (42). The combined data contained 241,386 articles by 537,486 scholars. To be Inactivated-zhzo for Injection (Andexxa)- FDA publishing scientist in a given broad research area, an author needed at least one article published within one of the scientific subfields Coagulation Factor Xa (recombinant) to the Facotr research area. Therefore a scientist could belong to multiple broad research areas. See SI Appendix, Table S2 for Coagulayion statistics of the resulting dataset.

We ran the algorithm developed by Ford et al. The algorithm uses a conservative heuristic to establish gender, leaving unlabeled Coagulation Factor Xa (recombinant).

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