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Diagnostic value of computed tomography scanning in differentiating malignant from benign solitary pulmonary nodules: a meta-analysis

Overview of attention for article published in Tumor Biology, May 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

policy
1 policy source

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
21 Mendeley
Title
Diagnostic value of computed tomography scanning in differentiating malignant from benign solitary pulmonary nodules: a meta-analysis
Published in
Tumor Biology, May 2014
DOI 10.1007/s13277-014-2113-8
Pubmed ID
Authors

Chuan-yu Zhang, Hua-long Yu, Xia Li, Yong-ye Sun

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 5%
Unknown 20 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 24%
Lecturer 2 10%
Student > Bachelor 2 10%
Professor 2 10%
Researcher 2 10%
Other 6 29%
Unknown 2 10%
Readers by discipline Count As %
Medicine and Dentistry 10 48%
Nursing and Health Professions 2 10%
Psychology 1 5%
Engineering 1 5%
Unknown 7 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 17 March 2016.
All research outputs
#7,528,880
of 22,974,684 outputs
Outputs from Tumor Biology
#414
of 2,630 outputs
Outputs of similar age
#73,783
of 226,980 outputs
Outputs of similar age from Tumor Biology
#21
of 102 outputs
Altmetric has tracked 22,974,684 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,630 research outputs from this source. They receive a mean Attention Score of 2.3. This one has gotten more attention than average, scoring higher than 67% 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 226,980 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 102 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.