Sensitive Immunosensor for Cancer Biomarker Based on Dual Signal Amplification Strategy of Graphene Sheets and Multienzyme Functionalized Carbon Nanospheres

Overview of attention for article published in Analytical Chemistry, March 2010

Altmetric Badge

About this Attention Score

In the top 25% of all research outputs scored by Altmetric
High Attention Score compared to outputs of the same age (89th percentile)
High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

patent: 13 patents

Readers on

mendeley: 235 Mendeley

You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.

Article details
Title	Sensitive Immunosensor for Cancer Biomarker Based on Dual Signal Amplification Strategy of Graphene Sheets and Multienzyme Functionalized Carbon Nanospheres
Published in	Analytical Chemistry, March 2010
DOI	10.1021/ac100036p
Pubmed ID	20201502
Authors	Dan Du, Zhexiang Zou, Yongsoon Shin, Jun Wang, Hong Wu, Mark H. Engelhard, Jun Liu, Ilhan A. Aksay, Yuehe Lin

View on publisher site Alert me about new mentions

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline

Activity

Mendeley demographics

The data shown below were compiled from readership statistics for 235 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country	Count	As %
United States	2	<1%
Taiwan	1	<1%
Portugal	1	<1%
Netherlands	1	<1%
Japan	1	<1%
Greece	1	<1%
Spain	1	<1%
Denmark	1	<1%
China	1	<1%
Other	1	<1%
Unknown	224	95%

Demographic breakdown

Readers by professional status
Readers by professional status	Count	As %
Student > Ph. D. Student	78	33%
Researcher	40	17%
Student > Master	27	11%
Student > Bachelor	15	6%
Student > Doctoral Student	10	4%
Other	34	14%
Unknown	31	13%

Readers by discipline
Readers by discipline	Count	As %
Chemistry	68	29%
Engineering	35	15%
Materials Science	29	12%
Agricultural and Biological Sciences	16	7%
Biochemistry, Genetics and Molecular Biology	14	6%
Other	30	13%
Unknown	43	18%

Attention Score in Context

This research output has an Altmetric Attention Score of 12. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 November 2018.

All research outputs

#2,493,382

of 23,033,713 outputs

Outputs from Analytical Chemistry

#1,117

of 26,628 outputs

Outputs of similar age

#9,611

of 94,172 outputs

Outputs of similar age from Analytical Chemistry

of 151 outputs

Altmetric has tracked 23,033,713 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.

So far Altmetric has tracked 26,628 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 94% of its peers.

Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 94,172 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.

We're also able to compare this research output to 151 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.