数量级 (数据) (Chinese Wikipedia)

Analysis of information sources in references of the Wikipedia article "数量级 (数据)" in Chinese language version.

refsWebsite

Global rank Chinese rank

5web.archive.org

1^st place

1^st place

355^th place

411^th place

3,959^th place

4,084^th place

254^th place

330^th place

1,429^th place

2,874^th place

low place

low place

1100.2

low place

low place

1scholarpedia.org

low place

low place

100.2

128.112.100.2

Given as 10⁴² erg K^-1 in Bekenstein (1973), Black Holes and Entropy^{[永久失效連結]}, Physical Review D 7 2338

catb.org

quantifiers. www.catb.org. [24 January 2022].

economist.com

A special report on managing information: All too much. The Economist. 2010-02-25 [2010-03-04]. （原始内容存档于2010-05-04）.

nist.gov

physics.nist.gov

Definitions of the SI units: The binary prefixes. physics.nist.gov. [2020-06-17].

cccbdb.nist.gov

Equivalent to 146.33 J K⁻¹ Standard molar entropy of neon. An experimental value, see [1] （页面存档备份，存于互联网档案馆） for a theoretical calculation.

scholarpedia.org

Entropy = $\scriptstyle Ac^{3}/4G\hbar$ in nats, with $A=16\pi G^{2}M^{2}/c^{4}$ for a Schwartzschild black hole. 1 nat = 1/ln(2) bits. See Jacob D. Bekenstein (2008), Bekenstein-Hawking entropy （页面存档备份，存于互联网档案馆）, Scholarpedia.

tmrfindia.org

存档副本 (PDF). [2010-09-19]. （原始内容存档 (PDF)于2016-03-03）.

typepad.com

outgoing.typepad.com

Hickey, Thom (OCLC Chief Scientist). Entire Library of Congress. Outgoing. June 21, 2005 [2010-05-05]. （原始内容存档于2020-05-29）.

web.archive.org

A special report on managing information: All too much. The Economist. 2010-02-25 [2010-03-04]. （原始内容存档于2010-05-04）.
Hickey, Thom (OCLC Chief Scientist). Entire Library of Congress. Outgoing. June 21, 2005 [2010-05-05]. （原始内容存档于2020-05-29）.
存档副本 (PDF). [2010-09-19]. （原始内容存档 (PDF)于2016-03-03）.
Equivalent to 146.33 J K⁻¹ Standard molar entropy of neon. An experimental value, see [1] （页面存档备份，存于互联网档案馆） for a theoretical calculation.
Entropy = $\scriptstyle Ac^{3}/4G\hbar$ in nats, with $A=16\pi G^{2}M^{2}/c^{4}$ for a Schwartzschild black hole. 1 nat = 1/ln(2) bits. See Jacob D. Bekenstein (2008), Bekenstein-Hawking entropy （页面存档备份，存于互联网档案馆）, Scholarpedia.