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Statistics in Biosciences / Springer


Impact Factor


5-Years IF


5-Years H index

Main indicators

Raw data

19900.1000 (%)0.04
19910.1000 (%)0.04
19920.09000 (%)0.04
19930.11000 (%)0.05
19940.11000 (%)0.04
19950.19000 (%)0.07
19960.22000 (%)0.09
19970.26000 (%)0.09
19980.28000 (%)0.1
19990.31000 (%)0.13
20000.38000 (%)0.15
20010.38000 (%)0.14
20020.4000 (%)0.17
20030.42000 (%)0.18
20040.47000 (%)0.19
20050.51000 (%)0.2
20060.51000 (%)0.2
20070.44000 (%)0.17
20080.48000 (%)0.19
20090.49000 (%)0.19
20100.46000 (%)0.16
20110.49000 (%)0.19
20120.51000 (%)0.19
20130.58000 (%)0.2
20140.59000 (%)0.19
20150.6000 (%)0.19
20160.6522222002 (100%)0.19
20170.050.690.05365810.02221221 (%)0.2
20181.0134925858 (%)0.32
IF: Impact Factor: C2Y / D2Y
AIF: Average Impact Factor for series in RePEc in year y
IF5: Impact Factor: C5Y / D5Y
DOC: Number of documents published in year y
CDO: Cumulative number of documents published until year y
CCU: Cumulative number of citations to papers published until year y
CIF: Cumulative impact factor
CIT: Number of citations to papers published in year y
D2Y: Number of articles published in y-1 plus y-2
C2Y: Cites in y to articles published in y-1 plus y-2
D5Y: Number of articles published in y-1 until y-5
C5Y: Cites in y to articles published in y-1 until y-5
%SC: Percentage of selft citations in y to articles published in y-1 plus y-2
CiY: Cites in year y to documents published in year y
II: Immediacy Index: CiY / Documents.
AII: Average Immediacy Index for series in RePEc in year y


50 most cited documents in this series:

12016Statistical Challenges in Analyzing Methylation and Long-Range Chromosomal Interaction Data. (2016). Li, LI ; Qin, Zhaohui ; Zhang, Han ; Jin, Victor X ; Park, Yong Seok ; Ayyala, Deepak ; Hu, Ming ; Wu, Hao ; Conneely, Karen N ; Lin, Shili. In: Statistics in Biosciences. RePEc:spr:stabio:v:8:y:2016:i:2:d:10.1007_s12561-016-9145-0.

Full description at Econpapers || Download paper


50 most relevant documents in this series (papers most cited in the last two years)


Citing documents used to compute impact factor 0:


Recent citations (cites in year: CiY)

Recent citations received in 2016

YearCiting document

10 most frequent citing series


Warning!! This is still an experimental service. The results of this service should be interpreted with care, especially in research assessment exercises. The processing of documents is automatic. There still are errors and omissions in the identification of references. We are working to improve the software to increase the accuracy of the results.

Source data used to compute the impact factor of RePEc series.

CitEc is a RePEc service, providing citation data for Economics since 2001. Sponsored by INOMICS. Last updated March, 4 2019. Contact: CitEc Team