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CiteAb: a searchable antibody database that ranks antibodies by the number of times they have been cited

Overview of attention for article published in BMC Molecular and Cell Biology, February 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

twitter
2 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
42 Dimensions

Readers on

mendeley
44 Mendeley
citeulike
1 CiteULike
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Title
CiteAb: a searchable antibody database that ranks antibodies by the number of times they have been cited
Published in
BMC Molecular and Cell Biology, February 2014
DOI 10.1186/1471-2121-15-6
Pubmed ID
Authors

Matthew A Helsby, Paul M Leader, Joe R Fenn, Tulay Gulsen, Chris Bryant, Gail Doughton, Ben Sharpe, Paul Whitley, Christopher J Caunt, Katrina James, Adam D Pope, Dave H Kelly, Andrew D Chalmers

Abstract

Research antibodies are used by thousands of scientists working in diverse disciplines, but it is common to hear concerns about antibody quality. This means that researchers need to carefully choose the antibodies they use to avoid wasting time and money. A well accepted way of selecting a research antibody is to identify one which has been used previously, where the associated data has been peer-reviewed and the results published.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
United States 1 2%
Unknown 42 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 30%
Student > Ph. D. Student 8 18%
Student > Bachelor 5 11%
Student > Doctoral Student 3 7%
Lecturer 3 7%
Other 11 25%
Unknown 1 2%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 25%
Biochemistry, Genetics and Molecular Biology 10 23%
Medicine and Dentistry 6 14%
Chemistry 4 9%
Immunology and Microbiology 3 7%
Other 9 20%
Unknown 1 2%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 02 September 2021.
All research outputs
#7,205,295
of 25,374,647 outputs
Outputs from BMC Molecular and Cell Biology
#236
of 1,233 outputs
Outputs of similar age
#81,642
of 330,518 outputs
Outputs of similar age from BMC Molecular and Cell Biology
#4
of 23 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,233 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 80% 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 330,518 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 74% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.