↓ Skip to main content

Preliminary evaluation of urinary soluble Met as a Biomarker for urothelial carcinoma of the bladder

Overview of attention for article published in Journal of Translational Medicine, October 2014
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
22 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.
Title
Preliminary evaluation of urinary soluble Met as a Biomarker for urothelial carcinoma of the bladder
Published in
Journal of Translational Medicine, October 2014
DOI 10.1186/1479-5876-12-199
Pubmed ID
Authors

Brian K McNeil, Maximiliano Sorbellini, Robert L Grubb, Andrea B Apolo, Fabiola Cecchi, Gagani Athauda, Benjamin Cohen, Alessio Giubellino, Haley Simpson, Piyush K Agarwal, Jonathan Coleman, Robert H Getzenberg, George J Netto, Joanna Shih, W Marston Linehan, Peter A Pinto, Donald P Bottaro

Abstract

Among genitourinary malignancies, bladder cancer (BCa) ranks second in both prevalence and cause of death. Biomarkers of BCa for diagnosis, prognosis and disease surveillance could potentially help prevent progression, improve survival rates and reduce health care costs. Among several oncogenic signaling pathways implicated in BCa progression is that of hepatocyte growth factor (HGF) and its cell surface receptor, Met, now targeted by 25 experimental anti-cancer agents in human clinical trials. The involvement of this pathway in several cancers is likely to preclude the use of urinary soluble Met (sMet), which has been correlated with malignancy, for initial BCa screening. However, its potential utility as an aid to disease surveillance and to identify patients likely to benefit from HGF/Met-targeted therapies provide the rationale for this preliminary retrospective study comparing sMet levels between benign conditions and primary BCa, and in BCa cases, between different disease stages.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 18%
Student > Master 3 14%
Student > Bachelor 2 9%
Student > Ph. D. Student 2 9%
Student > Doctoral Student 1 5%
Other 3 14%
Unknown 7 32%
Readers by discipline Count As %
Medicine and Dentistry 5 23%
Biochemistry, Genetics and Molecular Biology 3 14%
Nursing and Health Professions 2 9%
Business, Management and Accounting 1 5%
Economics, Econometrics and Finance 1 5%
Other 3 14%
Unknown 7 32%
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 23 October 2014.
All research outputs
#13,181,283
of 22,768,097 outputs
Outputs from Journal of Translational Medicine
#1,520
of 3,982 outputs
Outputs of similar age
#121,077
of 259,774 outputs
Outputs of similar age from Journal of Translational Medicine
#28
of 87 outputs
Altmetric has tracked 22,768,097 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,982 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 60% 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 259,774 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 52% of its contemporaries.
We're also able to compare this research output to 87 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 66% of its contemporaries.