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A national internet-linked based database for pediatric interstitial lung diseases: the French network

Overview of attention for article published in Orphanet Journal of Rare Diseases, January 2012
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Mentioned by

twitter
3 tweeters
f1000
1 research highlight platform

Citations

dimensions_citation
75 Dimensions

Readers on

mendeley
60 Mendeley
Summary Twitter Research highlights Dimensions citations
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Title
A national internet-linked based database for pediatric interstitial lung diseases: the French network
Published in
Orphanet Journal of Rare Diseases, January 2012
DOI 10.1186/1750-1172-7-40
Pubmed ID
22704798
Authors

Nadia Nathan, Rola Taam, Ralph Epaud, Christophe Delacourt, Antoine Deschildre, Philippe Reix, Raphaël Chiron, Ulrika de Pontbriand, Jacques Brouard, Michaël Fayon, Jean-Christophe Dubus, Lisa Giovannini-Chami, François Bremont, Katia Bessaci, Cyril Schweitzer, Marie-Laure Dalphin, Christophe Marguet, Véronique Houdouin, Françoise Troussier, Anne Sardet, Eglantine Hullo, Isabelle Gibertini, Malika Mahloul, Delphine Michon, Adrien Priouzeau, Laurie Galeron, Jean-François Vibert, Guillaume Thouvenin, Harriet Corvol, Jacques deBlic, Annick Clement

Abstract

Interstitial lung diseases (ILDs) in children represent a heterogeneous group of rare respiratory disorders that affect the lung parenchyma. After the launch of the French Reference Centre for Rare Lung Diseases (RespiRare®), we created a national network and a web-linked database to collect data on pediatric ILD.

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Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Unknown 59 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 17%
Student > Doctoral Student 9 15%
Student > Ph. D. Student 8 13%
Student > Postgraduate 6 10%
Researcher 5 8%
Other 15 25%
Unknown 7 12%
Readers by discipline Count As %
Medicine and Dentistry 34 57%
Psychology 3 5%
Agricultural and Biological Sciences 3 5%
Nursing and Health Professions 2 3%
Computer Science 2 3%
Other 6 10%
Unknown 10 17%

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 February 2023.
All research outputs
#12,948,088
of 23,351,247 outputs
Outputs from Orphanet Journal of Rare Diseases
#1,242
of 2,681 outputs
Outputs of similar age
#143,988
of 246,837 outputs
Outputs of similar age from Orphanet Journal of Rare Diseases
#32
of 48 outputs
Altmetric has tracked 23,351,247 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 2,681 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has gotten more attention than average, scoring higher than 52% 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 246,837 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.

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