Metodes pierādījumu reģistrs

Mendeley Readership Analysis

Mendeley readership analysis uses the number of users who have saved an article to their personal library in the Mendeley reference manager as an indicator of scholarly attention. Ehsan Mohammadi and Mike Thelwall showed in 2014 that these reader counts have broad coverage, correlate moderately with later citations, and, because saving precedes citing, become available much earlier than citation data. Mendeley also exposes coarse demographic categories for its readers, such as students, researchers, and professionals, allowing analysis of who is engaging with research, including non-citing audiences in the social sciences and humanities. As one of the most studied altmetric sources, Mendeley readership offers an early and relatively well-covered signal that complements citations, while raising distinct questions about what saving a paper actually means.

Sources recorded, not reviewed

Avota reģistrs

Atsauces kopētas tieši no metodes avota reģistra. Tās nenozīmē nekādu apgalvojumu līmeņa verifikāciju.

Mendeley Readership Analysis: Reference-Manager Readership Counts as Early Impact Signals

Taksonomiskās metodes reģistrs · process-pipeline / bibliometrics

Mohammadi, E., & Thelwall, M. (2014). Mendeley readership altmetrics for the social sciences and humanities: Research evaluation and knowledge flows. Journal of the Association for Information Science and Technology, 65(8), 1627-1638. · DOI 10.1002/asi.23071

Atvērt pilnu metodi

Kurēti apgalvojumi

Apgalvojumi saglabāti pierādījumu reģistrā, katram ar savu novērtējumu.

Vēl nav kurētu apgalvojumu

Šis skatījums neizgudro apgalvojumu novērtējumu, ja reģistrā tā nav.

Saistītās metodes

Ģenerēts no metodes grafika un parādīts kā mašīnas ieteiktas attiecības — netiek izvirzīts neviens pierādījumu apgalvojums.

Same method familyCitation Distribution Modeling (Lognormal/Tsallis)machine-suggested · Relational suggestion, not evidence.Same method familySleeping Beauties and Delayed Recognitionmachine-suggested · Relational suggestion, not evidence.Same method familyUsage Bibliometrics (Downloads and COUNTER)machine-suggested · Relational suggestion, not evidence.