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Identification of candidate genes for human pituitary development by EST analysis

Overview of attention for article published in BMC Genomics, March 2009
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (58th percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
33 Mendeley
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Title
Identification of candidate genes for human pituitary development by EST analysis
Published in
BMC Genomics, March 2009
DOI 10.1186/1471-2164-10-109
Pubmed ID
Authors

Yueyun Ma, Xiaofei Qi, Jianjun Du, Shaojun Song, Dongyun Feng, Jia Qi, Zhidong Zhu, Xin Zhang, Huasheng Xiao, Zeguang Han, Xiaoke Hao

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
United States 1 3%
Romania 1 3%
Unknown 30 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 24%
Researcher 7 21%
Student > Master 6 18%
Professor > Associate Professor 2 6%
Student > Doctoral Student 1 3%
Other 4 12%
Unknown 5 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 42%
Biochemistry, Genetics and Molecular Biology 6 18%
Medicine and Dentistry 5 15%
Economics, Econometrics and Finance 1 3%
Veterinary Science and Veterinary Medicine 1 3%
Other 0 0%
Unknown 6 18%

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 14 July 2018.
All research outputs
#6,762,871
of 20,815,952 outputs
Outputs from BMC Genomics
#3,381
of 10,155 outputs
Outputs of similar age
#83,993
of 249,316 outputs
Outputs of similar age from BMC Genomics
#1
of 1 outputs
Altmetric has tracked 20,815,952 research outputs across all sources so far. This one is in the 45th percentile – i.e., 45% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,155 research outputs from this source. They receive a mean Attention Score of 4.5. This one has gotten more attention than average, scoring higher than 59% 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 249,316 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 58% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them